Nephos Technologies’ Post

Greetings, Hiring for "Data Engineer" at Tampa, FL (Onsite). Job Type : Full Time Basis Responsibilities: ·  Collaborate with the project team to identify various sources of risk data. Work with data owners and understand its format, structure, and any access restrictions. ·   Implement procedures to extract data from various sources. This might involve writing scripts or using data integration tools to automate the data extraction process. ·  Cleanse and transform the extracted data to ensure consistency and compatibility with the target risk management system. This may involve handling missing values, formatting inconsistencies, and applying data quality checks. ·   Design and implement a data storage solution for the risk management system. This might involve selecting appropriate database technologies or cloud storage solutions based on data volume, performance requirements, and scalability needs. ·  Depending on the project's needs, the Data Engineer might be responsible for setting up and managing a data warehouse to store and analyze historical risk data, or a data lake for storing all raw risk data in its original format. ·  Implement data security measures to protect sensitive risk data. This includes defining user access controls, encryption strategies, and audit logging to ensure data integrity and compliance with regulations. ·   Build automated data pipelines to extract, transform, and load risk data from source systems to the target risk management system. ·  Schedule and orchestrate the execution to ensure data is extracted, transformed, and loaded at the desired frequency, inclusive of workflow management tools or scripting techniques. ·  Monitor data flow for errors or failures. Implement data quality checks throughout the data ingestion process to ensure the accuracy, completeness, and timeliness of data within the risk management system. ·   Collaborate with data analysts and business users to understand their risk data analysis requirements. Translate these requirements into technical specifications for data extraction, transformation, and storage. ·   Collaborate with Technical teams to ensure the data engineering tasks align with the overall IT infrastructure and security policies of the firm. You can share your resume at [email protected] or connect with me at +1 312-584-0722. #DataEngineer #DataStorage #RiskManagement

Data Architect opportunity with international NGO

🤔 Essential Skills for Data Engineers in the London Market🤔 As the industry rapidly embraces cloud technology, specifically Microsoft Azure, there is a significant demand for professional’s adept in data management, analytics, and cloud platforms. In our latest talent insights snapshot, Sarah Hanna – specialist Data Recruiter, shares what are the essential key skills that aspiring data engineers need to succeed in London's Specialty Insurance sector? 🔵 Cloud Technology (Azure) 🔵 Data Warehouse & Lakehouse Development 🔵 ETL Development 🔵 Data Processing & Analytics 🔵 Core Programming Skills Whether you are actively looking to recruit Data talent or interested in the latest Data Engineer opportunities within the Speciality Insurance and London Market scene, connect and get in touch with Sarah Hanna today - [email protected] or call 0203 828 6959. #Data #DataEngineering #PioneerSearch #LondonMarket #SpecialtyInsurance #EC3 #DataCareers #DataJobsLondon

Hi Connections, I'm Hiring for the below role. Suitable candidates can apply at [email protected] Job Title : Data Architect Client : Confidential Duration: 6+ Month Location: Corvallis, Oregon Visa: USC/GC MOI: Skype Need Candidates with LinkedIn Job Description - The Data Architect plays a critical role in shaping and optimizing our data ecosystem. They are responsible for designing, implementing, and maintaining data solutions that drive business insights and support strategic decision-making. As a key influencer and change agent, the Data Architect collaborates with cross-functional teams to ensure data governance, quality, and standardization. Let’s dive into the specifics: Data Governance and Quality: Champion data governance practices and policies. Influence stakeholders to adhere to data standards and best practices. Implement data quality frameworks, including profiling, cleansing, deduplication, and monitoring. Platform Design: Understand modern data platform architectures, especially cloud-native solutions. Design scalable, reliable, and cost-effective data platforms using AWS services or other cloud providers. Data Modeling: Proficiently create efficient data schemas that meet analytical and operational needs. Ensure adherence to performance and scalability best practices. Data Integration: Expertise in integrating data from diverse sources. Familiarity with ETL/ELT tools and real-time data integration methods. Cloud Computing: Understand cloud concepts and have hands-on experience with AWS or other cloud platforms. Familiarity with services like S3, Redshift, Glue, and Athena. Programming and Scripting: Proficiency in Python and SQL for data processing, automation, and scripting. Communication and Stakeholder Management: Collaborate effectively with cross-functional teams. Translate business requirements into technical solutions. Communicate complex ideas to stakeholders at all levels. Problem-Solving and Analytical Thinking: Analyze intricate data-related challenges. Identify root causes and propose innovative solutions. #Data #Data Architecture #DataArchitecture

#hiring Data Governance - Senior Consultant, New York City, United States, fulltime #opentowork #jobs #jobseekers #careers #NewYorkCityjobs #NewYorkjobs #HealthcareMedical Apply: https://lnkd.in/gHhBtNaG Job Family:Digital ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.Translate these use cases into requirements to communicate to the technical implementation team to implement into Collibra.Collaborate closely with business stakeholders to ingest and analyze existing data dictionaries, business glossaries, and taxonomies to determine the existence of metadata gaps, alignment with controlled vocabularies, and potential contribution to increase usability, reliability, and search/discoverability of data assets associated with the Collibra adopters' use cases.Provide guidance in setting the relevant workflows, roles, views, audit reports, and other execution and monitoring concepts within Collibra to support governance of the data inventory development.Provide guidance in supporting lineage creation in Collibra.Provide guidance in developing roles and permissions to support cross-community collaboration for managing and governing assets

Opportunity

Data Governance

#hiring Data Governance - Senior Consultant, New York City, United States, fulltime #opentowork #jobs #jobseekers #careers #NewYorkCityjobs #NewYorkjobs #HealthcareMedical Apply: https://lnkd.in/g7wnNsbq Job Family:Digital ConsultingTravel Required:Up to 25%Clearance Required:Ability to Obtain Public TrustWhat You Will Do:Conduct interviews with client stakeholders to assess current metadata management and data governance capabilities and refine use cases associated with metadata management, taxonomy, and ontology development.Translate these use cases into requirements to communicate to the technical implementation team to implement into Collibra.Collaborate closely with business stakeholders to ingest and analyze existing data dictionaries, business glossaries, and taxonomies to determine the existence of metadata gaps, alignment with controlled vocabularies, and potential contribution to increase usability, reliability, and search/discoverability of data assets associated with the Collibra adopters' use cases.Provide guidance in setting the relevant workflows, roles, views, audit reports, and other execution and monitoring concepts within Collibra to support governance of the data inventory development.Provide guidance in supporting lineage creation in Collibra.Provide guidance in developing roles and permissions to support cross-community collaboration for managing and governing assets