Datawarehouse Data Engineer (BHJOB1435_28572)

Data Engineer

Qualifications

• Strong understanding of Data warehousing (Dimensional Modeling, ETL, etc.) and RDBMS concepts
• Minimum 5 years of working experience with ETL tools such as Talend, Informatica, Data Stage etc
• Minimum 5 years of working experience in SQL, Stored Procedures, and Table Design
• Minimum 5 years of working experience in SQL Query optimization and ETL Data loading Performance
• Minimum 2 years working experience as Data Engineer in Hadoop Platforms on components like HIVE, KAFKA, NiFi, Spark, etc.
• Minimum 2 years of working experience in shell scripting
• Experience in Snowflake cloud technologies is preferred
• Experience in real-time streaming technologies is preferred
• Experience deploying machine learning models and automating processes in production is a plus
• Experience with cloud technologies(AWS, Azure, GCP) is a big plus

Responsibilities

As a core member of a team of Data Engineers/ETL Developers, responsibilities include but are not limited to

• Design, Develop and maintain secure, consistent, and reliable ETL solutions supporting critical business processes across the various Business Units.
• Ensure data solutions are compliant with enterprise security standards
• Work in complex multi-platform environments on multiple project assignments.
• Develop and perform tests and validate data flows and prepare ETL processes to meet complex business requirements, including designing and implementing complex end-to-end solutions using BI platforms.
• Coordinate with analysts and developers to ensure jobs designed and developed meet minimum support standards and best practices before migration into the production environment.
• Partner with various infrastructure teams, application teams, and architects to generate process designs and complex transformations to various data elements to provide the Business with insights into their business processes.
• Uses strategies such as Indexing and partitioning to fine-tune the data warehouse and big data environments to improve the query response time and scalability.
• Define and capture metadata and rules associated with ETL processes.
• Assist production support team in providing resolutions to production job failures, data issues, and performance tuning

ETL Development and Process Support may require weekend/off business hours work.

Length of contract: 1 year

COVID Remote Policy - Alternate weeks in Richmond VA office; another week remote. (5 days in office, 5 days remote, repeating). Local candidates strongly preferred.