Data Engineer
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SPi Global, formed in 1980 deals in the fields of Data Intelligence, Knowledge, Analytics, UI/UX/App Dev, Digitization, Marketing & Support Solutions, Integrated Workflow Solutions, E-learning, Content/Design Dev.
Responsibilities:
- Design and develop scalable ETL/ELT data pipelines.
- Build and maintain workflows using Apache Airflow.
- Develop data transformation and automation scripts using Python.
- Optimize SQL queries and manage data in Amazon Redshift.
- Ensure data quality, reliability, and performance.
- Collaborate with cross-functional teams to deliver data-driven solutions.
Requirements:
- Required Skills: Python, Apache Airflow, Amazon Redshift, SQL, ETL/ELT Development, Healthcare/Pharma/Life Sciences/clinical data domain experience, AWS.
- Preferred Skills: Spark, S3 AWS Glue, Lambda.
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