We are seeking a hands on Data Engineer to build reliable scalable Databricks pipelines.

Responsibilities

- You will translate requirements into production ELT or ETL jobs Delta Lake tables and reusable components.
- You will refine reference patterns, optimize Spark for performance and cost.
- Apply Unity Catalog best practices.
- Orchestrate workflows.
- Deliver high quality well documented code that empowers teams.

Qualifications

- Bachelors degree in CS Engineering or related field.
- 5 years experience in software or data engineering with 2 years working with Databricks and Spark.
- Solid understanding of Lakehouse and data warehousing architecture AI or ML pipeline support and familiarity with Terraform or CloudFormation valued.




- Experience ingesting data using APIs preferred or solid understanding of APIs.
- Exposure to dbt and MLOps or DevOps is a plus.
- Experience with Databricks Lakehouse Workflows SQL and dbt preferred.

Skills

- Databricks
- Spark
- Python
- SQL
- PySpark
- AWS
- Azure
- dbt
- Terraform

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr DATA ENGINEER - Azure Databricks (Bengaluru)
🏢 Happiest Minds Technologies
📍 Bengaluru