
Chief Data Engineering Specialist
2 days ago
At our organization, we seek an accomplished data engineer to lead the design and implementation of high-performance data pipelines.
- Develop advanced ETL/ELT processes for large-scale datasets using AWS cloud services.
- Leverage Databricks for data engineering, advanced analytics, and machine learning workloads.
Key Responsibilities:
The ideal candidate will possess strong expertise in designing, developing, and maintaining data pipelines, as well as collaborating with cross-functional teams to deliver scalable data solutions. A deep understanding of data governance, quality checks, and monitoring frameworks is also essential.
Required Skills:
- Expertise in Databricks (PySpark, Delta Lake, ML pipelines).
- Strong hands-on experience with AWS cloud services (S3, Redshift, Glue, EMR, Athena, Lambda, Kinesis).
- Proficiency in Python and SQL for data transformation and querying.
- Experience with workflow orchestration tools (Airflow, Step Functions).
Benefits:
We offer a dynamic and collaborative work environment that fosters innovation and growth. Our team members enjoy flexible working arrangements, ongoing training and development opportunities, and a comprehensive benefits package.
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