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Hey #linkedinfame CHENNAI DATA CIRCLE 2nd Virtual session happened on 7th April 2024 Speaker : Ravichander R. Enterprise Information Architecture Lead @ AstraZeneca | MBA, Data Management Expert 📯 He is a seasoned data professional with 13 + years of experience in the pharmaceutical industry. 📯His expertise in leveraging data to drive strategic decisions and enhance operational efficiency and his extensive background includes developing innovative data-driven solutions for various aspects of pharmaceutical research, development, and commercialization. 📯His passion in data-driven innovation and his ability to communicate complex concepts in a clear and compelling manner make him an ideal speaker to inspire and educate audiences on the transformative power of data in pharmaceuticals. Topic : Data Product Thinking 🎷 Data product thinking involves envisioning data not just as a resource, but as a core component of innovative products and services. 🎷It requires understanding user needs and market demands to create data-driven solutions that offer meaningful insights or functionality. 🎷Successful data product thinking integrates data science, design thinking, and business strategy to develop products that are both technically robust and user-friendly. 🎷It emphasizes iterative development and constant refinement based on feedback and evolving data trends. 🎷Ultimately, data product thinking shifts the focus from simply collecting data to leveraging it intelligently to drive value creation and enhance user experiences. Thanks a lot Ravichander R. for your wonderful session on data. Your insights into data techniques were particularly enlightening, and the practical examples you provided really brought the concepts to life. Additionally, your tips on data quality assurance will undoubtedly improve our processes moving forward. Overall, it was an invaluable learning experience. Thanaselvi C myself hosted this session to engage our audience and the speaker throughout the session. Henceforth our #CDC admins planned to conduct many enlightening sessions in upcoming days. Please join our #CDC https://lnkd.in/g3QMqGSa community to Grow and Glow in your career. #cdcadmins GaneshRam Rajagopal | Harish Vishwa Senthil | MJ Charan Kumar | Raghavan P 😊 #data #freshers #Businessanalyst #dataanalytics #linkedincommunity #dataanalyst Thanks for your support Danush Rajaram 😊Harish Vishwa Senthil

🌟 The Crucial Role of Data Analysts in Today's World 🌟 In today's data-driven world, data analysts are indispensable for organizations looking to thrive. Here’s why: Informed Decision-Making: Data analysts translate complex data into actionable insights, enabling informed decision-making at every level. Competitive Edge: They uncover market trends and customer insights that drive strategic advantages and business growth. Efficiency and Innovation: By optimizing processes and identifying opportunities, data analysts drive operational efficiency and foster innovation. Risk Management: Their ability to predict risks and opportunities helps organizations navigate uncertainties effectively. Compliance and Reporting: Data analysts ensure compliance with regulations and provide accurate, transparent reporting. I am eager to bring my 2.2 years of experience as a Data Analyst at HCL Technologies in Bangalore to a new opportunity. Connect with me to explore how I can contribute to your team’s success! #DataAnalyst #DataScience #JobOpportunity #DataDriven #Bangalore #HCLTechnologies Shashank Singh 🇮🇳 Ankit Bansal

Chennai Azure Data Engineer 4+ Yrs Data Engineer with Databricks Skills Design, build, and maintain efficient, scalable, and reliable data pipelines within the Databricks platform. Execute Extract, Load, Transform (ELT) operations using Databricks and DBT Labs tools to streamline data integration processes. Collaborate closely with data architects, analysts, and business stakeholders to understand and implement database requirements. Develop best practices for data handling, quality, and security within Databricks environments. Troubleshoot and optimize complex SQL and Databricks scripts for performance. Databricks Database Skills: Strong expertise in data warehousing, data integration, and database management on Databricks. (DBT Labs): Its good to have if candidate has Hands-on experience with DBT(Data build tools) Labs tools for ELT, ensuring data integrity and transforming raw data into actionable insights. 4+ years of experience in data engineering, with a primary focus on Databricks. Proficiency in SQL, data transformation, and data pipeline optimization. Apply: #WhatsApp 91-6232667387 Follow Jobs - Data Analyst | Data Engineer | Business Analyst | etc. #DataAnalytics #DataAnalysis #DataScience #BusinessIntelligence #DataVisualization #SQL #Python #Statistics #DataEngineering #BigData #ETL #DataPipeline #BusinessAnalysis #DataDriven #interview #career #hiring #jobs #jobsearch #jobseekers

DATA PROCESS EXECUTIVE #dataprocessing #datascience #dataentryservices #dataanalytics #data #datascientist #business #dataentry #datacollection #artificialintelligence #machinelearning #ai #outsourcing #python #marketresearch #dataentrycompany #surveyprogramming #dataanalysis #analytics #research #dataanalyst #survey #technology #statistics #jobringer

Good Evening all Job Title: Senior Data Engineers (Scala)  Location: Location: WFH from India Job Type:  Permanent Notice: immediate – 30 days Exp :7-10 Email Id : [email protected] Domain: Semicon 1x headcounts in 7-10 yrs band (Europe Time Zone) 1x headcount in 10+ yrs band (Flexible with Malaysia/Europe Time Zone) KEY RESPONSIBILITIES: ·         Understand the factories , manufacturing process , data availability and avenues for improvement ·         Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. ·         Define what data is required to create a solution and work with connectivity engineers , users to collect the data ·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability ·         Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data ·         Deploy and monitor the solution ·         Work with data and analytics experts to strive for greater functionality in our data systems. ·         Work together with Data Architects and data modeling teams. SKILLS /COMPETENCIES ·         ·         Problem Scoping/definition Skills: Experience in problem scoping, solving, quantification Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Ability to foresee and identify all right data required to solve the problem ·         Data Wrangling Skills: Strong skill in data mining, data wrangling techniques for creating the required analytical dataset ·         Programming Skills: Experience with big data tools: Spark, Delta,CDC,NiFi, Kafka, etc Experience with relational SQL, NoSQL databases and query languages, including oracle, Hive, sparkQL. Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills Know how of any visualization tools such as PowerBI, Tableau Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills Please share me you cv to [email protected] #datascientist #scala #Nosql #Powerbi #datasecurity #datascience #datasecuritystandards #data #dataanalysis #datasecuritytips #senior #publicdata #engineeringjobs #datasecuritybreach #dataanalytics #projectmanagers #engineering #senioryear #seniorclass #datavisualization #dataprivacy #seniorliving #cloudcomputingservices #riskmanagement #engineeringlife #itservicescompany #structuralengineering #techcompany #engineer

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]

Good Evening all Job Title: Senior Data Engineers (Scala)  Location: Location: WFH from India Job Type:  Permanent Notice: immediate – 30 days Exp :7-10 Email Id : [email protected] Domain: Semicon 1x headcounts in 7-10 yrs band (Europe Time Zone) 1x headcount in 10+ yrs band (Flexible with Malaysia/Europe Time Zone) KEY RESPONSIBILITIES: ·         Understand the factories , manufacturing process , data availability and avenues for improvement ·         Brainstorm , together with engineering, manufacturing and quality problems that can be solved using the acquired data in the data lake platform. ·         Define what data is required to create a solution and work with connectivity engineers , users to collect the data ·         Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery for greater scalability ·         Work on data preparation, data deep dive , help engineering, process and quality to understand the process/ machine behavior more closely using available data ·         Deploy and monitor the solution ·         Work with data and analytics experts to strive for greater functionality in our data systems. ·         Work together with Data Architects and data modeling teams. SKILLS /COMPETENCIES ·         ·         Problem Scoping/definition Skills: Experience in problem scoping, solving, quantification Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores Ability to foresee and identify all right data required to solve the problem ·         Data Wrangling Skills: Strong skill in data mining, data wrangling techniques for creating the required analytical dataset ·         Programming Skills: Experience with big data tools: Spark, Delta,CDC,NiFi, Kafka, etc Experience with relational SQL, NoSQL databases and query languages, including oracle, Hive, sparkQL. Experience with object-oriented languages: Scala, Java, C++ etc. Visualization Skills Know how of any visualization tools such as PowerBI, Tableau Good storytelling skills to present the data in simple and meaningful manner Data Engineering Skills Please share me you cv to [email protected] #datascientist #scala #Nosql #Powerbi #datasecurity #datascience #datasecuritystandards #data #dataanalysis #datasecuritytips #senior #publicdata #engineeringjobs #datasecuritybreach #dataanalytics #projectmanagers #engineering #senioryear #seniorclass #datavisualization #dataprivacy #seniorliving #cloudcomputingservices #riskmanagement #engineeringlife #itservicescompany #structuralengineering #techcompany #engineer

👋 Hey LinkedIn! I’m Mayank Shukla, a Senior Data Analyst at TechNeutron, based in Pune, with over 4 years of experience transforming complex data into insights that fuel smarter decisions. My career actually started in software development, where I loved building solutions and getting hands-on with technology. But as I progressed, I realized that what excited me most wasn’t just creating tools, but understanding the bigger picture: why certain choices were made, what drove the best outcomes, and how data could be used to make those decisions. That curiosity pulled me toward data analysis, where I could combine my technical background with my love for problem-solving. Switching fields wasn’t easy, but I’m grateful for the support from my team at Techneutron. They not only encouraged my transition but also provided the right environment and mentorship to help me grow and excel in this new path. Their commitment to fostering growth has made a huge difference in my journey, allowing me to learn, adapt, and apply my skills in ways that make an impact. 💡 What I love most about data analysis? It’s like uncovering hidden stories! Every dataset has something to say, and it’s incredibly satisfying to dive in, find those patterns, and see how data-driven decisions can create real change. I’m here to connect with like-minded professionals, founders, CEOs, and anyone passionate about the power of data. Let’s connect, exchange insights, and see where data can take us next! Feel free to reach out—I’m always up for a good conversation! 😊 #DataAnalysis #DataScience #LinkedInCommunity #CareerJourney #GrowthMindset #Techneutron #techneutron #bestaisolution #DataAnalysis #DataScience #BigData #DataDriven #BusinessIntelligence #DataInsights #Analytics #DataVisualization #MachineLearning #PredictiveAnalytics #ArtificialIntelligence #DataMining #DecisionMaking #DataTransformation #DataStorytelling #DataEngineer #DataAnalytics #DataStrategy #TechTrends #DataInnovation

⏭ Hey folks!! 🖥️ Day 44: The Complete Life Cycle of a Data Engineer 👉 In today’s "100 Days, 100 Tech Life Cycles" series, we spotlight the role of a Data Engineer. 👏 Data Engineers are responsible for building and maintaining the architecture that enables the effective collection, storage, and analysis of data, ensuring the smooth functioning of big data pipelines and platforms. ✍ Key Stages: 1️⃣ Requirement Gathering and Analysis Understand business and data requirements to design optimal data infrastructure. 2️⃣ Designing Data Architecture Develop scalable and efficient architectures, including databases and data pipelines. 3️⃣ Building Data Pipelines Write efficient ETL (Extract, Transform, Load) processes to move data between systems. 4️⃣ Data Integration Combine data from different sources and ensure its consistency across systems. 5️⃣ Optimizing Data Workflows Improve and automate data processing workflows for speed and reliability. 6️⃣ Monitoring and Debugging Ensure the continuous flow of data, identifying and resolving issues in real-time. 7️⃣ Collaboration with Data Scientists and Analysts Work with data professionals to support their analysis and model development. 8️⃣ Security and Compliance Implement data security and compliance measures to protect sensitive information. 9️⃣ Deployment and Maintenance Deploy and maintain data systems in production, ensuring they scale with business needs. 🤝 Discussion Points: How do you optimize data pipelines for real-time processing? What tools or platforms do you rely on for large-scale data engineering? How do you ensure data integrity across diverse systems? 🙌 Let’s discuss how Data Engineers create and maintain the backbone of data-driven organizations! #DataEngineering #BigData #ETL #DataPipelines #100DaysOfTech #TechLifeCycle #CareerGrowth #DataArchitecture #data #trending #hastage #tata #viral #post #linkedln #content #rakesh #techlife Tata Technologies Accenture Tech Mahindra @#technologies dataengine DataEngineersLab DataEngineerExpert.com TransUnion PrepInsta Vel Tech Technical University DHILIP KUMAR V sir

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