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Databricks Engineer

DATAECONOMY

Job Location:

Hyderabad - India

Monthly Salary: Not provided by the employer

Experience Required: 5-10years

Posted: 2 September 2026 (Yesterday)

Application Deadline: 30 November 2026

Vacancies: 1 Vacancy

Job Summary

Job Title: Databricks Engineer
Experience Level: 5 - 10 years
Location: Hyderabad / Pune

Qualification: BTech/MTech/MCA
Mode of Work: Hybrid

We are seeking a skilled and motivated Databricks Engineer to design develop and optimize scalable data solutions on the Databricks platform. The ideal candidate will have strong expertise in Apache Spark Databricks architecture ETL development and modern data lakehouse concepts. This role will be responsible for building robust data pipelines implementing best practices in data engineering and supporting analytics and machine learning workloads.

Key Responsibilities:

Design develop and maintain scalable data engineering solutions using Databricks and Apache Spark.

Create and deploy custom ETL/ELT pipelines to ingest transform and process large volumes of structured and unstructured data.

Configure manage and optimize Databricks clusters for performance scalability and cost efficiency.

Implement and manage Lakehouse architectures using Databricks best practices.

Develop and maintain data workflows utilizing Delta Lake and Delta Live Tables (DLT).

Design and implement Medallion Architecture (Bronze Silver Gold layers) for reliable and scalable data processing.

Configure and govern data assets using Unity Catalog ensuring data security access control and compliance.

Collaborate with data architects analysts and business stakeholders to translate business requirements into technical solutions.

Monitor data pipelines and troubleshoot performance or data quality issues.

Optimize Spark jobs and workflows to improve processing efficiency and reduce execution time.

Follow DevOps and CI/CD best practices for deployment and release management.

Requirements

5-10 years of experience in Data Engineering or Big Data technologies.

Strong understanding of Databricks architecture and core platform capabilities.

Hands-on experience in setting up and managing Databricks clusters.

Strong expertise in Apache Spark (PySpark/Scala Spark).

Experience developing and deploying custom ETL pipelines in Databricks.

Experience implementing Medallion Architecture within Databricks.

Hands-on experience with Delta Live Tables (DLT).

Strong understanding and implementation experience with Unity Catalog.

Experience working with Delta Lake and Lakehouse architecture principles.

Knowledge of data modeling data quality and performance tuning techniques.

Familiarity with version control tools such as Git.

Benefits

Comprehensive Medical Coverage:
Health insurance of INR 5.0 Lakhs for you and your family (up to 6 members) ensuring complete peace of mind.
Robust Protection Plans:
Group Personal Accident Insurance and Group Term Life Insurance to safeguard you and your loved ones.
Retirement Benefits:
PF and Gratuity provided as per standard government regulations.
Flexible Work Options:
Enjoy hybrid work arrangements & flexible working hours
Generous Leave Policy:
21 days of annual leave in addition to 10 company-declared holidays.
Employee Well-being Spaces:
Access to a dedicated break-out area with round-the-clock refreshments for relaxation and rejuvenation.

Required Skills:

Solid understanding of Databricks fundamentals/architecture and have hands on experience in setting up Databricks cluster working in Databricks modules (Data Engineering Machine Learning and SQL warehouse). Strong experience in coding custom ETL pipelines using spark and deploy in Databricks. Knowledge of medallion architecture DLT and unity catalog within Databricks.

Required Education:

B.E/B Tech

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