Databricks Engineer

Job Title : Databricks Engineer

Experience : 7.5+ Years

Location : Remote (IST Shift)

Contract Type : Long-Term

Overview

We are seeking an experienced Databricks Engineer with 7.5+ years of expertise in database development, ETL, and cloud-based data solutions . The ideal candidate should be highly skilled in SQL, Databricks, PySpark, and cloud technologies , with proven experience in designing scalable data workflows, optimizing performance, and delivering enterprise-grade data solutions.

Responsibilities

Design, develop, and optimize database solutions for enterprise applications.

Build and manage ETL pipelines and large-scale data processing workflows using Databricks and PySpark .

Implement data modeling, schema design, and performance tuning for high-volume data systems.

Develop and maintain cloud-based workflows with AWS (S3, Redshift, Lambda, EC2).

Automate ETL processes and improve system efficiency through workflow automation .

Perform query optimization, indexing, and stored procedures for database performance improvements.

Lead data migration and warehousing projects , ensuring smooth data integration.

Develop dashboards and analytics using Power BI and Google Data Studio.

Requirements

7.5+ years of hands-on experience in data engineering, ETL, and databases .

Proven expertise in Databricks, PySpark, and Snowflake .

Strong knowledge of AWS cloud services (S3, Lambda, EC2).

Experience with Active Batch or similar scheduling tools .

Excellent problem-solving, analytical, and communication skills.

Ability to work in fast-paced, remote environments .

Key Skills

Databases : Oracle PL / SQL, MySQL, SQL Server, Redshift, PostgreSQL, Netezza

Programming & Tools : Python, Unix Shell Scripting, PySpark, Databricks, SnapLogic, Snowflake, SQL Developer, PL / SQL Developer, MySQL Workbench, DBeaver, PyCharm

Cloud & Scheduling : AWS S3, AWS Lambda, AWS EC2, Active Batch

Data Analytics : Power BI, Google Data Studio