... and reconciliation routines to monitor data quality and health https://jobeax.com/link/7YmDhC7t3FRw3woL :- 2+ years of professional experience in integration engineering, ETL/ELT development, or enterprise ERP/WMS implementation.- Strong SQL capabilities and robust data-mapping fundamentals (entity resolution, data lineage, ...
... contract and the Sponsor’s expectations. Core Responsibilities • Acts as Functional Lead for Data Management including primary contact for internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups • Coordinate the work of the assigned Data Management/Data Operations ...
... and query optimization. Big Data: Apache Spark / PySpark for large-scale distributed data processing. Data Pipelines: Building ETL/ELT pipelines using Azure Data Factory, Fabric Data Flows, and Fabric Notebooks. Cloud + Warehouse: Hands-on experience with Microsoft Azure services and Microsoft Fabric for cloud data warehousing ...
Senior Data Engineer II Join our Data Engineering, Analytics & Intelligence team The Data Engineering, Analytics & Intelligence team is the engine behind our data-driven culture. We partner across the enterprise—from Finance (Accounting, Customer Revenue Operations, Business Finance) to Sales and Marketing—to build the ...
Role :Lead Engineer - Conversion/Migration Skills - Mandatory-SQL Server, ETL/Data Migration Skills - Good to have -SSIS, Azure Data Factory Work location: Kochi/Trivandrum Total Experience: 6-9 years Strong hands-on expertise in SQL Server (T-SQL) and relational database design, with solid experience in data migration ...
... backend services, APIs, and microservices. - Strong fundamentals in data structures, algorithms, and software design principles. - Experience working with SQL and database technologies. - AI / GenAI - Preferred Qualifications - Experience building production-ready GenAI applications. - Experience with vector databases such as ...
... deploying complex data architectures within Microsoft Fabric and the broader Azure ecosystem.- Advanced proficiency in Python and SQL for building sophisticated data processing pipelines and complex analytical models.- Strong background in data engineering principles, including ETL/ELT design, data modeling, and performance ...
... recurring insight packs and basic statistical summaries under supervision.- Run data quality checks and validate metrics.- Support test cases, documentation and data validation for dashboard https://jobeax.com/link/uZNeF9ElGyYiAC23 We Expect From You :- Build strong SQL and data-hygiene habits early; accuracy matters more ...
... activities and site communications. Collaborate with the project team to address issues, resolve discrepancies, and ensure trial milestones are met. Support data management activities by ensuring timely and accurate data collection and entry. Participate in audits and inspections as required, providing necessary documentation ...
Key responsibilities :Data Architecture & Platform Build :- Design and implement modern data architecture (Data Lake, Data Warehouse, Lakehouse)- Enable self-service analytics and reporting platforms- Lead implementation of BI tools and dashboards- Partner with business teams to define KPIs, metrics, and insights frameworks- ...
... Python, SQL, and Spark/PySpark.- Hands-on experience with Azure Data Factory, Azure Databricks, and/or Synapse Analytics.- Experience with ETL/ELT frameworks and data integration tools.- Good understanding of data engineering concepts and data pipeline architecture.- Experience with data transformation, processing, and optimization.- ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Data Engineering ...
... for batch and real-time data processing. Build and optimize ETL/ELT workflows to collect, transform, and load data from multiple sources. Develop and maintain data models, data warehouses, and data lakes. Ensure data quality, consistency, accuracy, and reliability across data pipelines. Optimize data processing workflows ...
... debugging, and code quality best practices. Good understanding of data engineering fundamentals and advanced concepts. Experience building scalable and fault-tolerant data pipelines. Strong knowledge of CI/CD, automated testing, and production deployments. Understanding of Medallion Architecture, data modeling, data quality, and ...
... organization Design data architecture that is simple and maintainable while enabling Data Analysts, Data Scientists, and stakeholders to efficiently work with data. Mentor data team members in architecture and coding techniques. Serve as a source of knowledge for the Data Engineering team for process improvement, automation ...
Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Python (Programming ...
... legal entity. You will be part of a world-class Data Engineering team, where you will: inform Data Science and Analytics Platform teams partner closely with data consumers and producers to ensure quality and usefulness of data assets You will be involved in strategizing measurement, collecting data, and generating insights. ...
... including HDFS, Hive, Spark, and Impala. Experience building and supporting Data Lakes, Data Warehouses, and Enterprise Data Platforms. Strong experience in data modelling, source-to-target mappings, data transformation, and data integration. Knowledge of data quality, data governance, metadata management, and data security ...
... working with large datasets. Experience building dashboards and reporting using tools such as Hex, Looker, Tableau, Power BI, or similar. Familiarity with modern data warehouses and transformation tools such as Snowflake, BigQuery, Databricks, or similar. Strong understanding of data modeling, data quality, reconciliation, ...