Niharika Yadav’s Post

We are #hiring. Clairvoyant - an EXL Company is looking for a Data API Engineer in USA. 🚀 Job Description: 🚀 Job Role: Data API Engineer  Job Location: Remote Job Duties - Design, build, test and deploy data APIs for downstream consumers to access the data on our Google BigQuery Warehoue - Optimize data and API granularity, flexibility and autonomy with the use of materialized views, query parameters, schema design partitions, indexes, down-sampling, etc. to manage trade-offs between data volumes, scope, timing and performance. - Protect the solution with appropriate Authorization and Authentication models, data encryption and other security components – this will include consumer registration and storage of identification and change management considerations - Utilize BigQuery API capabilities with customised wrappers in Java or Python, if needed - Design, build, test and deploy and complementary data quality API which will allow consumers to receive (completeness, accuracy, timeliness) metrics meta-data on the data they receive - All APIs should provide Includes Versioning, Logging, Monitoring and Error Handling and communication and automated Regression Testing to validate the impact of any (breaking or non-breaking) changes – test driven development is preferred. - Review and refine, interpret and implement business and technical requirements - Ensure you are part of the on-going productivity and priorities by refining User Stories, Epics and Backlogs in Jira - Manage code artefacts and CI/CD using tools like Git, Jenkins, Google Secrets Manager, etc. - Estimate, commit and deliver requirements to scope, quality, and time expectations - Deliver non-functional requirements, IT standards and developer and support tools to ensure our applications are a secure, compliant, scalable, reliable and cost effective - Write well-commented, maintainable and self-documenting code - Fix defects and provide enhancements during the development period and hand-over knowledge, expertise, code and support responsibilities to support team Essential Experience - Excellent understanding of GCP Architecting and solution design - Excellent development experience on Google BigQuery or Cloud Platform APIs - Excellent understanding of Core Web services, JSON, Google Cloud APIs and Wrappers - Expert in database design, development and administration – understanding of relational and dimensional data models (and preferably Data Vault) - Data preparation, wrangling and refactoring skills, for example using Data Fusion pipelines - Excellent knowledge of devops tools like Ansible , Jenkins, Github ,Puppet, Chef etc. - IT methodology/procedural knowledge; Agile/Scrum, DevOps and ITIL principles. - BS/MS degree in Computer Science, Engineering or a related subject - Strong organizational and multi-tasking skills. - Good team player who embraces teamwork and mutual support. - Interested in working in a fast-paced environment

Hi, We are #hiringimmediately Data Governance Consultant, If interested Please share your resume to [email protected]. Role: Data Governance Consultant  Location: Chennai/Coimbatore- Work from office  Experience: 5+ years Notice period: Immediate to 15 days max   Data Skills:  Data Modeling: Understanding of data models (star schema, snowflake schema) and the ability to identify data entities, attributes, and relationships relevant to the financial industry.  Data Quality: Knowledge of data quality principles, metrics and techniques for data cleansing, validation, and transformation.  Data Security: Understanding of data security best practices in finance, including access control, encryption, and data loss prevention.  Data Catalog Management: Experience with managing data catalogs, including data classification, tagging, and metadata management, if Acryl utilizes a data catalog component.  Data Lineage Tracking: Understanding of data lineage tracking principles and how Acryl implements it to track data origin, transformations, and flow throughout the system.  Data Access Control: Knowledge of data access control best practices and how Acryl enforces access restrictions based on user roles and permissions.    Technical skills and duties    Has data engineering knowledge  Has familiarity with graphql, python or java  Has familiarity with key data platforms: Snowflake, Looker, Aurora Postgres, Fivetran, Airflow, SQL server  Can work cross-functionally to identify dataset owners, gather documentation, and coordinate setting up the business glossary, domains, and other similar tasks. This information usually lives across multiple technical teams.  Tag all tables and fields, PII/non-PII data   Specify the relationship between datasets  Have a project manager experience to track tasks against milestones    Nice to have:   Financial Data Management: Familiarity with financial data regulations and standards (e.g., Know Your Customer (KYC), Anti-Money Laundering (AML)). Basic understanding of financial products, services, and regulations relevant to small public financial companies.  AIML : Knowledge of data science, AIML, MLOps, data protection, privacy 

#hiring Data Architect, Bangalore, India, fulltime #opentowork #jobs #jobseekers #careers #Bangalorejobs #Karnatakajobs #ITCommunications Apply: https://lnkd.in/gm7fBRAx Who We AreWho We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.What You'll DoAs a Data Architect at BCG, you will be pivotal in designing and developing cloud-based data systems for our clients. Your responsibilities include consulting with clients to understand their current issues and future aspirations, creating tailored solution architectures, and recommending strategic solutions. You will be instrumental in crafting physical and logical architecture solution roadmaps, integrating these solutions with client business processes and technology frameworks. Your role involves developing innovative solution sets and enhancing data platform capabilities to address emerging data challenges, leveraging the best of approved Cloud platforms. You'll also guide clients in optimizing their Cloud platform architectures, ensuring efficient expenditure management. In the pre-sales stages, you will evaluate client businesses, processes, systems, and technology needs, providing expert advice on best practices and designing robust solutions. A key aspect of your role is to stay abreast of industry trends, ensuring our cloud data center offerings align with these developments and meet client needs effectively.What You'll Do Lead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet client-specific requirements. Engage with clients to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendations. Develop comprehensive architecture solution roadmaps seamlessly integrating client business processes and technologies. Innovate and expand solution offerings to address new data challenges, capitalizing on the capabilities of approved Cloud platforms. Advise clients on Cloud platform architecture optimization, focusing on cost-effectiveness and performance. Assess client requirements in the pre-sales phase,

We are #hiring for Data Analyst. Please share your resume at [email protected] Minimum 6+ years of experience. Shift Timings: IST Work Mode: Remote/Hybrid Budget: as per market rates Contract Duration: 6 Months to 1 Year Responsibilities  ∙ The role would be suited to a candidate having hands on experiences in data science  and analytics field – developing models, rules and algorithms from structured and  unstructured sources and performing deep-dive analysis to derive data-driven  decisions.   ∙ Proven track records in building and deploying (financial services) analytic solutions  that have created significant value for customers and additional revenue based on  new business models.  ∙ Experience in building dynamic dashboard (eg Tableau, MSTR) for business  stakeholders will be an absolute must  ∙ Experienced working in an offshore model is required since role will be based in  Bangalore with business stakeholders in Singapore and other overseas locations. ∙ Strong data defining, structuring, labelling, and developing data models to capture,  store, process and use this data to generate intelligent outcomes through Data  Analytics  ∙ The candidate will have a profound knowledge of large data sets, data management,  data governance, data science and metadata.   ∙ The role requires close partnership with Cash Product organisation. Other key  stakeholders include global Sales and Implementation teams, Technology, and risk  owners such as legal and compliance.   ∙ This role reports to the Director, Data Analytics lead for Cash Transaction Banking. ∙ Help built a strategy & roadmap of analytics solutions that will position the business  as leading in this field.   ∙ Creating effective dashboards for business stakeholders   ∙ Apply and ensure data governance framework.  ∙ Develop and implement artificial intelligence algorithms, rules and rapid prototypes  from big data sets that will be fed into various business programs.   ∙ Behavioural segmentation based on client journey, profiles, transaction patterns, and  app activities that will lead to highly personalized client insights.   ∙ Design and monitor A/B testing and various engagement activities.  ∙ Perform deep-dive analysis to solve various business problems arising from  marketing, dynamic incentive programs, and campaign management.  ∙ Build and automate intuitive dashboards that help visualize and answer complex  business problems.   ∙ Managing risks and regulatory issues associated in data analytics solutions.

#urgent requirement for #Data_scientist at Remote within #Poland for #Contract/ #permanent Job Description Skills - ·       Data Scientist having experience in #o9 implementation specifically (from data science perspective). If the experience is not in o9 then at least having experience in some other #IBP product like #Blue_Yonder. ·       Domain wise primarily #Sales #forecasting (#Demand_forecasting, #Demand_planning) -MUST Details- You are passionate about using data to analyse and develop dashboards and models that help our customers find the home furnishing solutions that best fit their needs. You bring broad knowledge of modern applied algorithms (predictive and prescriptive) for extracting insights and making decisions based on data, a strength in statistics and general analytical knowledge. You make mistakes sometimes that keep you evolving and learning as you are not afraid to find new ways to solve a challenging task together with your colleagues. You have a great interest in the world around you and keep yourself updated with the latest trends and future technology, just as we do. ● Proficiency with an appropriate set of languages, technologies, and frameworks (e.g., #Python, #PySpark, #Databricks, Azure ML, #ADLS, MLFlow, Github) and cloud environments (e.g. Azure) ● Proficiency with data modelling techniques and concepts, CI/CD ● Experience from the business that the product area (data) is supporting and enabling ● Ability to explain statistical and machine learning techniques to non-technical stakeholders and software engineers ● Work with technology as a business tool and translate requirements into solutions, balancing user experience, business needs and IT constraints ● Ability to understand the complexity of the Client business and the role of technology as an integrated part of the business You will also: ● Facilitate the construction of transparent, reproducible, reusable and generalist data science products and services ● Research and develop models for data analysis ● Design, develop and maintain data science models and infrastructures, for your area or product.  ● Communicate results and ideas to key decision makers ● Contribute to the dissemination of methodologies, accelerators or algorithms created for specific models or analysis ● Work closely together with data engineers, architects, analysts, peers, and other relevant roles across client as well as in your team ● Ensure application and consistency with relevant digital frameworks, principles, guidelines, and standards ● Document and make the operational know-how of the data science models available to the Client ecosystem ● Keep up to date with the latest technology trends ● Assure quality and contribute to testing of deliverables For more Details/ interested please get in touch with me at --([email protected] // +44 203 887 1710 Ext :6397) or DM.

We are #Hiring for the #DataModellingDeveloper Candidates can share your updated CV'S to [email protected] Position: Data Modelling Developer Experience: 6+ yrs Relevant Notice Period: Immediate - 15 Days Location: ITPL, Whitefield, Bengaluru (3-4 day a week WFO) Shift: 10AM - 7 PM Job Description Good Understanding to #Datamodel Concepts Hands on Experience any #DataModelling Tools, preferably #SAPPowerDesigner > Maintain logical and physical #datamodels along with accurate metadata. > Solution architecture, #design, and #development of models for small projects. > Create conceptual data model to identify key business entities and visualize their relationships. > Provide documentation of solution design, as well as end user training and change management communications at times. > Support teams through all project phases including knowledge transition phase. > Present and communicate modeling results and recommendations to internal stakeholders. > Ensure and enforce a governance process to oversee implementation activities and ensure alignment to the defined architecture. > Collaborate internationally with various stakeholders. > Engage with clients to clarify inbound research requests. > Extract key insights for an executive audience, conveying them in clear, concise written and visual summaries, employing data-driven charts, maps and graphics where appropriate. > Perform data profiling/analysis activities that helps to establish, modify and maintain data model. > Communicate physical database designs and dba and explains features that may affect the physical data model. > Regularly engage and consult stakeholders on solving business problems through data, guiding the conversation rather than following orders. > Analyze data-related system integration challenges and propose appropriate solutions with strategic approach.

Urgent openings for Senior Data Engineer Location: Bangalore (Hybrid) No of openings: 4 Experience: 4 to 10 years Key Responsibilities: Data Warehousing: Design and implement a centralized Data Warehouse to store and manage data from Multiple sources. Responsible for setting up and maintaining data warehouses, ensuring data quality, and Optimizing performance. Data Modeling: Create a structured representation of data to understand how data elements relate to each other. Design database schemas and structures that support efficient data retrieval and analysis. Create dimensional models with facts and dimensions to facilitate complex queries and reporting. Data Pipeline Development: Design, implement, and maintain data pipelines using Apache Airflow, ensuring the extraction, transformation, and loading (ETL) of data from various sources. Collaborate with engineers and analysts to ensure efficient and reliable data pipelines. Monitor and optimize data pipelines for performance and reliability. Data Extraction and Transformation: Utilize SQL and Python to extract data from various sources, including databases, APIs, and data warehouses. Utilize dbt to transform raw data into structured, clean, and well-documented datasets. Maintain and evolve dbt models to support evolving business requirements. Collaboration: Collaborate with cross-functional teams, including engineers, data scientists, and business stakeholders, to understand and address their data needs and priorities. Communicate insights effectively and present data-driven recommendations to make data-driven decisions. Data Quality Assurance, Governance, and Documentation: Implement data quality checks and validations to ensure data accuracy and consistency. Maintain comprehensive documentation of data pipelines, data models, and reporting solutions. Share knowledge and best practices with colleagues to promote a data-driven culture. Automation and Scalability: Identify opportunities to optimize query performance and data processing efficiency. Ensure data solutions are scalable to accommodate growing data volumes and evolving business needs. Develop data APIs and delivery services that support critical operational and analytical applications. Please share it in your known groups or networks, so that let it be helpful to the needful candidates [email protected]

#Hiring #Hiring #Hiring Position – #GCP Data Architect  Exp-12+ years Location- #All EXL location(Hybriod) Skills- #GCP #PYTHON #PYSPARK #SQL If you are interested please share your cv #[email protected] 12+ years of proven experience as an Architect in Big Data Engineering.  Mandatory Technical Proficiency - Hands-on experience with #Python, #PySpark, #Google Cloud Tech stack, #SQL, #DevOps.  Experience with Google Cloud Services such as Streaming + Batch, Cloud Storage, Cloud Dataflow, Data Proc, Big Query & Big Table Proven real time exposure and use of contemporary data mining, cloud computing and data management ecosystem like Google Cloud, #Hadoop, #HDFS and #Spark.  Proficient in Data modelling that can represent complex data structures while ensuring accuracy, consistency, and efficiency; data warehousing, and ETL processes.  Ability to perform system analysis and assessment of existing systems and operating methodologies leveraging in-depth knowledge of big data technologies and ecosystems.  Excellent problem-solving skills and the ability to address complex technical challenges.  Strong communication and leadership skills.    Highly Desired:  Experience with Anaplan, Looker & PowerBI,   Experience with Apigee, Apollo GraphQL. Experience with serverless data warehousing concepts,   Additional programming/scripting languages: JavaScript, Java.  Knowledge of Snowflake, Generative AI (LLMs), Marketing activation.    Role & Responsibilities:  Solution Design: Participate in in requirements gathering and architectural discussions. Define technical requirements and create solution designs that align with business goals and objectives. Technical Leadership: Lead creation of technical design/specifications and provide technical leadership and guidance to development teams, promoting best practices. Provide expertise with Master Data Management, Reference Data Management, Data Quality, Meta Data Management and Data Governance in General. Programming Hands on: Develop and maintain software components using Python, PySpark, and GCP services to process and analyze large datasets efficiently. Build data pipelines and perform data transformations. Evaluate newest technologies for optimization opportunities and future enhancement needs like self-serve and ad hoc reporting. Implement necessary infrastructure for optimal and efficient  ETL from a disparate data. Performance Optimization: Identify and address performance bottlenecks, ensuring the system meets required throughput and latency targets. Security and Compliance: Ensure that data solutions adhere to security and compliance standards, implementing necessary controls and encryption mechanisms.  Scalability: Architect scalable and highly available data solutions, considering both batch and real-time processing.  Documentation: Create and maintain comprehensive technical documentation to support the development and maintenance of data solutions. 

#hiring Data Architect, Bangalore, India, fulltime #opentowork #jobs #jobseekers #careers #Bangalorejobs #Karnatakajobs #ITCommunications Apply: https://lnkd.in/gm7fBRAx Who We AreWho We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact.To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive.What You'll DoAs a Data Architect at BCG, you will be pivotal in designing and developing cloud-based data systems for our clients. Your responsibilities include consulting with clients to understand their current issues and future aspirations, creating tailored solution architectures, and recommending strategic solutions. You will be instrumental in crafting physical and logical architecture solution roadmaps, integrating these solutions with client business processes and technology frameworks. Your role involves developing innovative solution sets and enhancing data platform capabilities to address emerging data challenges, leveraging the best of approved Cloud platforms. You'll also guide clients in optimizing their Cloud platform architectures, ensuring efficient expenditure management. In the pre-sales stages, you will evaluate client businesses, processes, systems, and technology needs, providing expert advice on best practices and designing robust solutions. A key aspect of your role is to stay abreast of industry trends, ensuring our cloud data center offerings align with these developments and meet client needs effectively.What You'll Do Lead and/or assist in designing and developing cloud-based data systems, tailoring solutions to meet client-specific requirements. Engage with clients to evaluate their current and future needs, crafting bespoke solution architectures and providing strategic recommendations. Develop comprehensive architecture solution roadmaps seamlessly integrating client business processes and technologies. Innovate and expand solution offerings to address new data challenges, capitalizing on the capabilities of approved Cloud platforms. Advise clients on Cloud platform architecture optimization, focusing on cost-effectiveness and performance. Assess client requirements in the pre-sales phase,