Accenture Federal Services needs to help the US federal government make the nation stronger and safer and life better for people by leveraging technology and ingenuity to solve complex problems for clients across various government sectors.
Requirements
- 4+ years of experience with data engineering
- Experience with development and maintenance of extract, transform, and load (ETL) tools and services
- Experience with Cloud and on-prem data storage and processing solutions
- Experience with Python, SQL, Spark, and PySpark
- Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
- Experience with data platforms like Databricks, Palantir, and Snowflake
- Experience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack
Responsibilities
- Movement of structured and unstructured data using approved methods.
- Execute data ingestion activities for storing data in a local or enterprise-level location.
- Develop code to format data that supports exploration.
- Analyze source data formats and work with Data Scientists and partners to determine the formats and transforms that best meet mission objectives.
- Develop code and tools to provide one-time and ongoing data formatting and transformations into enterprise or standalone data models.
- Implement existing ETL code and best practices/standards.
- Develop an ETL Code Transition Plan.
Other
- U.S. Citizenship
- Active Top Secret clearance
- Experience with Agile / Scrum
- Familiarity with data orchestration and data quality processes
- Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
