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3 days ago
We are seeking a senior-level data engineer to lead the design and implementation of scalable, high-performance data pipelines.
- Main Responsibilities:
- Design, develop, and maintain data pipelines and workflows using cloud-based services and Databricks.
- Create and optimize extract, transform, load (ETL) processes for large-scale structured and unstructured datasets.
- Leverage Databricks for data engineering, advanced analytics, and machine learning workloads.
- Collaborate with cross-functional teams to deliver reliable and scalable data solutions.
- Implement data governance, quality checks, and monitoring frameworks.
- E nsure high availability, scalability, and cost-effectiveness of data solutions.
- Required Skills:
- 8+ years of experience in data engineering.
- Strong hands-on experience with cloud services (S3, Redshift, Glue, EMR, Athena, Lambda, Kinesis).
- Expertise in Databricks (PySpark, Delta Lake, ML pipelines).
- Proficiency in Python and SQL for data transformation and querying.
- Strong understanding of data warehousing, data modeling, and big data frameworks.
- Experience with workflow orchestration tools (Airflow, Step Functions).
We offer a competitive compensation package, comprehensive benefits, and opportunities for growth and development. If you are passionate about delivering innovative data solutions and leading high-performing teams, we encourage you to apply for this exciting opportunity.
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