ROLE RESPONSIBILITIES
What you’ll own.
- Design and build batch, near-real-time, and streaming data pipelines using Azure Data Factory, Databricks, Airflow, AWS Glue, Dataflow, Informatica, Talend, or comparable platforms.
- Develop ETL/ELT logic, data transformations, mappings, data-cleansing processes, validations, and reconciliation procedures.
- Implement CDC, API-based integration, file transfer, database replication, event-driven ingestion, and data-orchestration workflows.
- Monitor pipeline performance, job failures, data quality, timeliness, and operational incidents.
- Build automated tests, data-quality checks, error-handling routines, alerting, and recovery mechanisms.
- Support legacy-to-cloud data migration, cutover, reconciliation, and post-migration validation.
MINIMUM QUALIFICATIONS
Experience that prepares you for the work.
4+ years in data engineering, ETL development, database integration, analytics engineering, or systems integration. Strong SQL plus Python, Spark, Scala, Java, or comparable data-engineering skills. Azure Data Engineer, Databricks, Snowflake, AWS Data Analytics, or similar certification preferred.
CANDIDATE INFORMATION
Before you apply.
Engagement conditionsRemote, travel, client-site, clearance, compensation and benefit details are confirmed for the specific engagement during recruiting.
Accessible application processFor an application accommodation, contact info@jjtassoc.com or +1 470-256-0558.
Information handlingSubmit only recruiting information through this form. Do not include classified, controlled or export-restricted material.
