Warning: getimagesize(http://jobcareer.chimpgroup.com/wp-content/uploads/subheader-image-jobline.jpg): failed to open stream: HTTP request failed! HTTP/1.0 404 Not Found in /home/h325/dna325.com/jobs/wp-content/themes/jobcareer/backend/theme-components/cs-header/cs_functions.php on line 753

Mid/Senior Data Engineer

Application deadline date has been passed for this Job.
This job has been Expired
  • Post Date: 04/01/2023
  • Applications 1
  • Views 1277
Job Overview

As a Data Engineer, you will develop, optimize, and maintain the ETL data pipeline. This involves working with infrastructure built in AWS, including Spark EMR, S3, and DynamoDB. Additionally, this role will help build analytical tools, develop unit and stress tests, and create automation surrounding the orchestration of the ETL data pipeline.


  • Build infrastructure and automation for the extraction, preparation, and loading of data from various sources;
  • Create unit and stress test components to monitor technical performance and ensure identified issues are resolved;
  • Build and maintain analytical tools to provide data insight and capture key metrics;
  • Automate and integrate new components into the data pipeline;
  • Utilize best practices for data governance, quality, cleansing, and other ETL-related activities;
  • Maintain technical documentation.


  • 3+ years of development experience in data engineering;
  • 1+ years of professional experience working in big data ecosystems, preference for Spark;
  • 1+ years of professional experience working with data flow management tools, such as Airflow;
  • 1+ years experience working with Pentaho (or equivalent tools such as Talend, DataStage, and Informatica)2Hands-on scripting experience with Python, Scala, and/or shell scripting;
  • Preference for development experience in highly scalable, distributed systems and cluster architectures (e.g. AWS, Azure, Google Cloud, etc);
  • Familiarity with complex NoSQL databases (e.g. DynamoDB, Cassandra, Elasticsearch, etc);
  • Prior experience working with large data sets (>1M+ records);
  • B.S. preferred in Computer Science, Information Systems, or related fields (foreign education equivalent accepted).
Job Detail
  • Experience3 Years
Shortlist Never pay anyone for job application test or interview.