About
Key Responsibilities
Design, develop, and maintain ETL/ELT pipelines using Databricks.
Build and optimize data processing workflows using Python and SQL.
Develop scalable data solutions on AWS services such as S3, Glue, Lambda, and Redshift.
Ensure data quality, integrity, and performance across data platforms.
Collaborate with data analysts, data scientists, and business stakeholders to deliver data solutions.
Monitor, troubleshoot, and enhance existing data pipelines.
Required Skills
Strong hands‑on experience with Databricks .
Proficiency in Python and SQL .
Experience with AWS cloud services and data engineering solutions.
Knowledge of data warehousing, ETL/ELT concepts, and big data processing.
Familiarity with version control tools such as Git.
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Languages
- English
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