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Chief Data Architecture Specialist
2 weeks ago
We are seeking an experienced data professional to join our team as a Senior Data Engineer. The ideal candidate will possess strong expertise in AWS cloud services and Databricks, with a proven track record of designing and implementing scalable, high-performance data pipelines.
The role involves building and optimizing ETL/ELT workflows, managing big data environments, and ensuring seamless data availability for analytics, AI/ML, and business intelligence use cases.
Key Responsibilities:- Design, develop, and maintain data pipelines and workflows using AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, Athena) and Databricks.
- Build and optimize ETL/ELT processes for large-scale structured and unstructured datasets.
- Leverage Databricks for data engineering, advanced analytics, and machine learning workloads.
- Collaborate with data scientists, analysts, and stakeholders to deliver reliable and scalable data solutions.
- Implement data governance, quality checks, and monitoring frameworks.
- Ensure high availability, scalability, and cost-effectiveness of data solutions.
- 7+ years of experience in data engineering.
- Strong hands-on experience with AWS 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).
This is a unique opportunity to join a dynamic team and contribute to the development of innovative data solutions. The successful candidate will have access to cutting-edge technologies, continuous learning opportunities, and a collaborative work environment.
