Data Engineer – Azure Databricks

Experience: 6+ Years
Location: Bengaluru- Whitefield
Work Mode: Hybrid – 3 days/week
Interview Process: 2 Technical Round

Job Summary

We are looking for an experienced Data Engineer with 6+ years of hands-on experience in building and managing scalable data engineering solutions. The ideal candidate should have strong expertise in Spark, Scala, Airflow, Hive, Kubernetes, Iceberg, and Azure Databricks .
The candidate should also have a valuable understanding of modern data platforms, cloud technologies, CI/CD practices, and the ability to leverage AI across the Software Development Lifecycle (SDLC) and Data Engineering to drive innovation and business value.

Key Responsibilities
- Design, develop, and maintain scalable and reliable data engineering pipelines.
- Build data processing solutions using Apache Spark and Scala .
- Develop and manage workflows using Apache Airflow .
- Work with Hive, Iceberg, Kubernetes, and Docker in modern data platforms.
- Develop and maintain CI/CD pipelines using GitHub Actions .




- Design and implement data solutions using Azure Databricks .
- Work with ADLS, Azure Data Factory (ADF), Delta Lake, Databricks Jobs and Pipelines .
- Utilize Lakeflow Connect, Unity Catalog, and Databricks Compute (Classic & Serverless) .
- Implement data governance, security, and access controls using Unity Catalog.
- Optimize data pipelines and processing workloads for performance and scalability.
- Collaborate with data scientists, architects, product teams, and other engineering teams.
- Apply AI capabilities and tools across the SDLC and Data Engineering lifecycle to improve productivity, automation, and business outcomes.
- Follow engineering best practices around version control, testing, deployment, monitoring, and documentation.

Required Skills
Must-Have – Priority 1
- Strong hands-on experience with Apache Spark
- Scala
- Apache Airflow
- Hive
- Kubernetes
- Apache Iceberg
- Good knowledge of Docker
- Good experie

📌 Senior Data Engineer (India)
🏢 Quess IT Staffing
📍 India