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Job Description
Role & responsibilities
- JD for Databricks, Pyspark Engineer:
- Candidate should have 5- 8 years of experience in Data Engineering
- Must have knowledge and working experience in Databricks, PySpark and in Redshift, AWS, Apache Airflow, ETL, SQL
- Nice to Have Life science domain experience (Pharma), BI Tools (Tableau/Power BI)
- Designing, creating, testing and maintaining the complete data management & processing systems.
- Working closely with the stakeholders & solution architect.
- Ensuring architecture meets the business requirements.
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- Building highly scalable, robust & fault-tolerant systems.
- Discovering data acquisitions opportunities
- Finding ways & methods to find value out of existing data.
- Improving data quality, reliability & efficiency of the individual components & the complete system.
- Creating data models to reduce system complexities and hence increase efficiency & reduce cost.
- Setting & achieving individual as well as the team goal.
- Problem solving mindset working in agile environment
Skills
PysparkData BricksAirflowRedshift AwsETLETL ToolAWSSQLIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
Important dates & deadlines?
Application Deadline
30 Nov 25, 05:56 PM IST
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