Senior Data Engineer

WHO YOU ARE

• At least five years of experience in data engineering, DataOps, DevOps, or a comparable technical role.
• Advanced hands-on experience with Python, PySpark, SQL, Git, and Databricks.
• Strong experience with the Databricks ecosystem, including Delta Lake, Unity Catalog, and Databricks Serverless SQL.
• Proven experience with Infrastructure as Code, preferably Terraform, and CI/CD tooling such as Databricks Asset Bundles, GitHub Actions, Azure DevOps, or GitLab.
• Experience implementing data-quality controls, data contracts, automated testing, monitoring, and incident-management practices.
• Strong knowledge of Azure cloud services, including security, networking, identity and access management, and storage integration. Experience with AWS or GCP is beneficial.
• Ever feel burnt out by bureaucracy? Us too. That's why we're changing the way we work- for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here
• https://www.bayer.com/enfstrategyfstrategy
• Bayer does not charge any fees whatsoever for recruitment process. Please do not entertain such demand for payment by any individuals / entities in connection with recruitment with any Bayer Group entity(ies) worldwide under any pretext.
• Please don’t rely upon any unsolicited email from email addresses not ending with domain name “bayer.com” or job advertisements referring you to an email address that does not end with “bayer.com”. For checking the authenticity of such emails or advertisement you may approach us at [email protected].
• YOUR APPLICATION|
• Bayer is an equal opportunity employer that strongly values fairness and respect at work. We welcome applications from all individuals, regardless of race, religion, gender, age, physical characteristics, disability, sexual orientation etc. We are committed to treating all applicants fairly and avoiding discrimination.
• Location:| India : Karnataka : Bangalore |
• Division:| Enabling Functions |
• Reference Code:| 891948 | |
• Contact Us
• \+ 022-25311234
• |