Senior Data Engineer

What we are looking for-

You'll build and maintain systems for efficient data collection, storage, and processing to ensure data pipelines are robust and scalable for seamless integration and analysis. We are seeking an individual who not only possesses the requisite expertise but also thrives in the dynamic landscape of a fast-paced global firm.

What youll do?

• Design/implement complex and scalable enterprise data processing and BI reporting solutions.
• Design, build, and optimize ETL pipelines or underlying code to enhance data warehouse systems.
• Work towards optimizing the overall costs incurred due to system infrastructure, operations, change management, etc.
• Deliver end-to-end data solutions across multiple infrastructures and applications.
• Coach, mentor, and manage a team of junior associates to help them plan tasks effectively.
• Demonstrate overall client stakeholder and project management skills (drive client meetings, create realistic project timelines, plan and manage individual tasks).
• Build strong partnerships with other teams to create valuable solutions.
• Stay up to date with the latest industry trends.

Must have -

• 3-7 years

  of experience in designing/building data warehouses and BI reporting

• B.Tech/B.E.

  degree from a reputed institution.
• Prior experience in managing client stakeholders and junior team members.
• A background in managing Life Science clients is mandatory.
• Proficient in big data processing and cloud technologies like

  AWS, Azure, Databricks, PySpark

  ,

  Hadoop

  , etc. Proficiency in Informatica is a plus.
• Extensive hands-on experience in working with cloud data warehouses like

  Redshift, Azure Data Factory, Snowflake

  , etc. And Proficiency in

  SQL, Data Modeling

  , and

  designing ETL pipelines

  is a must.
• Intermediate to expert-level proficiency in Python.
• Proficiency in

  either Tableau, Power BI, or Qlik

  is a must.
• Domain knowledge of the

  pharma landscape is mandatory.