Data Engineer

We are looking for a Data Engineer to build and maintain scalable data pipelines and integrations supporting CRM operations, data matching, and reporting. You’ll work closely with Full Stack Engineers and internal data teams.

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Key Requirements

• Strong hands-on experience with AWS: S3, RDS/PostgreSQL, IAM, EMR, Glue, Athena, and Redshift.
• Strong Apache Spark experience for transformations, joins, calculations, and batch processing.
• Solid expertise in ETL/ELT, data modeling, schema design, data quality, reconciliation, metadata, and data lineage.
• Advanced SQL skills, including complex transformations, validation, and performance optimization.
• Experience with Git, CI/CD, automated data testing, parameterization, monitoring, logging, and production support.
• Strong understanding of data security, including IAM, least privilege, encryption, and secrets management.
• Experience building scalable, reliable, and production-ready data pipelines.
• Exposure to near-real-time processing is a plus.

What You’ll Do

• Design and maintain data ingestion, transformation, and publishing pipelines.
• Analyze source systems and define data contracts and integration requirements.
• Develop data models for customer profiles, opportunities, matching, tracking, and reporting.
• Implement data quality checks, reconciliation, error handling, monitoring, and traceability.
• Optimize data workloads for performance, scalability, and cost efficiency.
• Partner with Full Stack teams to enable effective application data consumption. xqbhyrx
• Maintain documentation for data lineage, dependencies, business rules, and recovery procedures.