Databricks

Title: Databricks
Location: PAN India
Exp: 5 to 10 years

Job Description:
Mandate Skills : Databricks, PySpark & Python, SQL, AWS Services

We are seeking highly skilled Data Engineer with strong experience in Databricks, PySpark,
Python, SQL, and AWS to join our data engineering team on or before 1st week of Dec, 2025
. The candidate will be responsible for designing, developing, and optimizing large-scale
data pipelines and analytics solutions that drive business insights and operational
efficiency . Design, build, and maintain scalable data pipelines using Databricks and
PySpark. Develop and optimize complex SQL queries for data extraction, transformation,
and analysis. Implement data integration solutions across multiple AWS services (S3, Glue,
Lambda, Redshift, EMR, etc.). Collaborate with analytics, data science, and business
teams to deliver clean, reliable, and timely datasets. Ensure data quality, performance, and
reliability across data workflows. Participate in code reviews, data architecture
discussions, and performance optimization initiatives. Support migration and
modernization efforts for legacy data systems to modern cloud-based solutions. Key Skills:
Hands-on experience with Databricks , PySpark & Python for building ETL/ELT pipelines.
Proficiency in SQL (performance tuning, complex joins, CTEs, window functions). Strong
understanding of AWS services (S3, Glue, Lambda, Redshift, CloudWatch, etc.).
Experience with data modeling, schema design, and performance optimization. Familiarity
with CI/CD pipelines, version control (Git), and workflow orchestration (Airflow preferred).
Excellent problem-solving, communication, and collaboration skills.