15+ Years of Experience Required
Job Description:
We are looking for a Senior ETL Data Engineer to support an enterprise data team in Washington, DC. This is a 100% onsite role focused on building, enhancing, and supporting data pipelines and data transformation processes using Microsoft Azure technologies.
Required / Desired Skills
Skill
Required / Desired
Amount
of Experience
Strong knowledge for development of Extract-Transform-Load (ETL) processes, including end-to-end pipelines with data loading from multiple sources
Required
15
Years
Ability to gather and document requirements for data extraction, transformation and load processes
Required
15
Years
Understanding of data warehousing, data lake, business intelligence and information management concepts and standards.
Required
15
Years
Ability to advise internal and external customers on appropriate tools and systems for complex data processing challenges.
Required
15
Years
Knowledge and use of SQL for relational databases
Required
11
Years
Experience with various data formats including database specific (Oracle, SQL, Postgres, DB2), text formats (CSV, XML) and Binary (Parquet, AVRO)
Required
11
Years
Contribute to enterprise data governance standards by ensuring accuracy, consistency, security and reliability
Required
7
Years
Strong experience with Microsoft Azure tools such as Azure Data Factory, Synapse, SQL Database, Data Lake Storage Gen2, Blob Storage
Required
5
Years
Experience with data integration and data pipeline tools such as Informatica PowerCenter, Apache NiFi, Apache Airflow and FME
Required
5
Years
Experience with visualization and reporting software such as MicroStrategy, Tableau, and Esri ArcGIS
Highly desired
3
Years
Strong communication skills, both oral and written
Required
3
Years
Ability to provide excellent customer service to external partners
Required
3
Years
Ability to work independently or as part of a larger team
Required
3
Years
Experience performing data functions with Databricks
Highly desired
3
Years
