Data Engineer

Role & responsibilities

1. 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.

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  Ensuring architecture meets the business requirements.
• 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