Data Engineer
Ampcus
Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Job Title: Data EngineerLocation: Reston, VA. Job Description:
- The Senior Data Engineer is responsible for orchestrating, deploying, maintaining and scaling cloud OR on-premise infrastructure targeting big data and platform data management (Relational and NoSQL, distributed and converged) with emphasis on reliability, automation and performance.
- This role will focus on developing solutions and helping transform the company's platforms deliver data-driven, meaningful insights and value to company.
- Work with Business Analysts and Product team to gather data requirements.
- Design and Build Abinitio data graphs and data pipelines to extract the data various databases/flat files/message queues.
- Transform the data to create a consumable data layer for various application uses.
- Support Data pipeline with bug fixes, and additional enhancements.
- Document Technical design, Operational Runbook etc.
- To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
- Bachelor's Degree.
- Computer Science, Information Technology or Engineering or related field.
- Total of 10 Years of IT Experience predominantly in Data Integration/Data Warehouse area.
- Must have at least 5 years of ETL Design and Development experience using Ab Initio.
- 1-2 years of Data Integration project experience on Hadoop Platform, preferably Cloudera.
- Abinitio CDC (Change Data Capture) experience in a Data Integration/ETL project setting is great to have.
- Working knowledge of HDFS, Hive, Impala and other related Hadoop technologies.
- Abinitio integration with AWS S3 and Redshift and/or other AWS database services.
- Sound understanding of SQL and ability to write well-performing SQL queries.
- Good knowledge of OLTP and OLAP data models and other data warehouse fundamentals.
- Rigor in high code quality, automated testing, and other engineering best practices, ability to write reusable code components.
- Ability to unit test the code thoroughly and to troubleshoot issues in production environments.
- Must have some working experience with Unix/Linux shell scripting.
- Must be able to work independently and support other junior developers as needed.
- Some Java development experience is nice to have.
- Knowledge of Agile Development practices is required.
Vacancy posted 4 days ago
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