JV
Data Engineer
Jobs via Dice
Malvern · Hybrid Full-time Today
About the role
Job Summary
We are looking for a skilled Data Engineer with strong experience in building scalable ETL pipelines and working with AWS data services. The ideal candidate will handle large-scale data integration, ensure data quality, and support analytics needs.
Key Skills
- AWS: Glue, S3, Lambda, Athena, IAM, SNS, SQS, SageMaker
- Python, SQL, PySpark
- Data Modeling
- GitHub, Jira, Confluence
Responsibilities
- Develop and maintain ETL pipelines for real-time and batch processing
- Integrate and process large datasets from multiple sources
- Ensure data accuracy, consistency, and integrity
- Translate business requirements into technical solutions
- Write optimized queries, programs, and reports
- Collaborate with stakeholders and support data-driven decisions
Requirements
- Strong hands-on experience with AWS data ecosystem
- Solid programming skills in Python, SQL, and PySpark
- Experience with data warehousing and modeling
- Excellent problem-solving and communication skills
Skills
AWS GlueAWS IAMAWS LambdaAWS SageMakerAWS S3AWS SNSAWS SQSAthenaData ModelingGitHubJiraPythonPySparkSQL
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