Data Engineering Team Lead

5 days ago

Bangalore, India Merck Group Full time

Drive innovation through data and digital at the Merck Group.

Job Summary

As a seasoned data engineering professional, you will lead our team of skilled data engineers in building efficient, harmonized, and stable data pipelines that ensure high-quality data is readily available for our business stakeholders. With a strong background in data engineering, experience in leading teams, and a passion for innovation and excellence, you will contribute to the creation of central data repositories and specific use cases.

Key Responsibilities

- Design and develop data engineering solutions that enable actionable insights for our business stakeholders.

- Manage and mentor a team of data engineers, fostering a culture of innovation and excellence.

- Maximize the use of our modern Data & AI ecosystem built on AWS, Informatica, Oracle, and Snowflake.

- Ensure top-quality data is available for all stakeholders by adopting fast-paced, scalable, and continuously evolving data systems and processes.

Requirements

- Bachelor's or Master's degree in Computer Science or a related field.

- At least 10 years of professional experience in data engineering, preferably within the Healthcare sector.

- Experience in leading data engineering teams, driving outcomes, and mentoring junior colleagues.

- Substantial experience in delivering data pipelines, especially using Informatica (ideally including IICS), AWS (focusing on Glue, Lambda, and DMS), as well as building data repositories using Oracle and Snowflake.

- Strong knowledge of SQL and ideally Python and PySpark.

- Strong drive to optimize our data engineering practices, embracing the opportunities offered by our technological setup.

- Excellent English communication skills, with the ability to engage effectively with both business-facing teams, product owners, and technical developers.

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