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 experience with

GitHub Action

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