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Role: Data Engineer Location: Houston, TX Duration: Fulltime class="Apple-interchange-newline" style="caret-color:#000000; color:#000000; font-style:normal; font-variant-caps:normal; font-weight:normal; letter-spacing:normal; orphans:auto; text-align:start; text-indent:0px; text-transform:none; white-space:normal; widows:auto; word-spacing:0px; -webkit-text-size-adjust:auto; -webkit-text-stroke-width:0px; text-decoration:none"
- A member of the Data & Analytics team
- Build data pipelines, extract and provide data in multiple formats
- Solutions may involve Data Ingestion design, implementation, testing, debugging, performance tuning, documentation, validation, and support.
- Understand business drivers and processes
- Collaborate and communicate with Senior Software Developers, Architects, Operations leads, Project managers/scrum masters etc.
- Develop/update documentation
- Experience of 1-3 years on Data Engineering, with Total experience of at least 4 years of IT.
- Excellent SQL skills, Python, SPARK and JSON
- Good understanding of Cloud computing and Big data concepts
- AWS Cloud data platform experience
- Change data capture (CDC), Amazon Elastic Map Reduce (EMR)
- Good knowledge of AWS services like EC2, S3, Lambda, Glue, Athena, Kinesis datastreams, Kinesis Firehouse, etc
- Knowledge of API-based integration and security (SOAP and RestFul) -
- Good understanding of database concepts, modeling, knowledge of SQL
- Good understanding of system and data integration from several systems
- Strong Analytical skills
- Ability to learn fast and translate data into actionable results
- Excellent verbal and Written Communication skills