Job Openings Senior Data Engineer

About the job Senior Data Engineer

Gentis Solutions is seeking a Senior Data Engineer to join our team. This contract-to-hire position is with one of our Fortune 50 clients interested in full-time flex/remote consultants. The ideal candidates will have the required skills listed below and will be eligible and open to being hired by our client at the end of the project's duration. This position works alongside an existing team and leverages enterprise-level technologies and processes. If you would like to work at a company that has been recognized for its diversity and inclusion, its work to drive positive social change, and as an environmental leader, make sure you apply below.


  • Extensive knowledge of data principles, patterns, processes, and practices
  • Any experience defining evolutionary data solutions and underlying technologies
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Experience with SQL database design, data modeling
  • Demonstrated written and oral communication skills
  • Basic understanding of network and data security architecture
  • Strong knowledge of industry trends
  • Knowledge in a minimum of two of the following technical disciplines: data warehousing, data management, analytics development, data science, application programming interfaces (APIs), data integration, cloud, servers and storage, and database management
  • Experience building cost-effective and performance-driven solutions using elastic architectures in Microsoft Azure leveraging Cosmos, Azure Data Factory, Azure Synapse and Databricks Platforms
  • Experience with SQL and NoSQL applications on Big Data Platforms
  • Experience with SSAS Tabular models, Power BI, Dataflows and DAX
  • Experience with Azure Data Platform stack: Azure Data Lake, Azure Synapse, Data Factory and Databricks
  • Experience with Python, Spark and SQL
  • Any experience with streaming technologies like Kafka, IBM MQ and EventHub
  • Experience with Google cloud Platform is a plus

Typical Duties

  • Drive digital innovation by leveraging innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms
  • Define high-level migration plans to address the gaps between the current and future state
  • Present opportunities with cost/benefit analysis to leadership to shape sound architectural decisions
  • Lead the analysis of the technology environment to detect critical deficiencies and recommend solutions for improvement
  • Interpreting data, analyzing results using statistical techniques
  • Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
  • Acquiring data from primary or secondary data sources and maintaining databases
  • Promote the reuse of data assets, including the management of the data catalog for reference
  • Analyze and organize raw data
  • Build data systems and pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results