Job Description

Data Engineer – Azure Databricks

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Experience: 6+ Years

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Location: Bengaluru- Whitefield

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Work Mode: Hybrid – 3 days/week

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Interview Process: 2 Technical Round

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Job Summary

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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.

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The candidate should also have a good 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.

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Key Responsibilities

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- Design, develop, and maintain scalable and reliable data engineering pipelines.
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- Build data processing solutions using Apache Spark and Scala.
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- Develop and manage workflows using Apache Airflow.
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- Work with Hive, Iceberg, Kubernetes, and Docker in modern data platforms.
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- Develop and maintain CI/CD pipelines using GitHub Actions.
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- Design and implement data solutions using Azure Databricks.
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- Work with ADLS, Azure Data Factory (ADF), Delta Lake, Databricks Jobs and Pipelines.
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- Utilize Lakeflow Connect, Unity Catalog, and Databricks Compute (Classic & Serverless).
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- Implement data governance, security, and access controls using Unity Catalog.
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- Optimize data pipelines and processing workloads for performance and scalability.
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- Collaborate with data scientists, architects, product teams, and other engineering teams.
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- Apply AI capabilities and tools across the SDLC and Data Engineering lifecycle to improve productivity,



automation, and business outcomes.
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- Follow engineering best practices around version control, testing, deployment, monitoring, and documentation.
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Required Skills

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Must-Have – Priority 1

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- Robust hands-on experience with Apache Spark
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- Scala
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- Apache Airflow
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- Hive
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- Kubernetes
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- Apache Iceberg
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- Good knowledge of Docker
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- Good experience with GitHub Actions / CI-CD
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Must-Have – Priority 2

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- Strong experience with Azure Databricks
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- ADLS
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- Databricks Jobs & Pipelines
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- Azure Data Factory (ADF)
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- Delta Lake
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- Lakeflow Connect
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- Unity Catalog
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- Databricks Compute – Classic & Serverless
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Must-Have – Priority 3

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- Experience using AI tools/capabilities within SDLC and Data Engineering
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- Ability to identify opportunities to use AI for automation, development, optimization, and innovation
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- Strong problem-solving and analytical skills
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Additional Requirements

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- 6+ years of relevant experience in Data Engineering.
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- Strong understanding of data engineering concepts and distributed data processing.
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- Excellent communication and collaboration skills.
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- Candidates must be based in or willing to relocate to Bengaluru.
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- Candidates should be comfortable working from the office
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- Willingness to attend 2 technical interview rounds.
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Preferred Candidate Profile

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Candidates with strong hands-on experience across Spark/Scala/Airflow and the Azure Databricks ecosystem will be given priority. Experience in modern data lakehouse technologies, containerization, CI/CD, and practical application of AI in engineering environments will be an added advantage.

📌 Senior Data Engineer (Bengaluru)
🏢 Quess IT Solutions
📍 Bengaluru