Job Title: Data Engineer – Databricks

Location: Bangalore/ Pune/Hyderabad

Job Summary:

We are looking for a Data Engineer with robust experience in Databricks, Airflow, Python, and SQL to build and maintain scalable data pipelines and data processing solutions. The ideal candidate will have expertise in ETL/ELT development, workflow orchestration, data modeling, and performance optimization.

Key Responsibilities:
Develop and optimize data pipelines using Databricks, Python, and SQL.
Design and manage workflow orchestration using Apache Airflow.
Build scalable ETL/ELT processes for data ingestion and transformation.
Monitor, troubleshoot, and improve data pipeline performance.
Implement data quality checks and validation frameworks.




Collaborate with cross-functional teams to deliver data-driven solutions.

Required Skills:
Robust hands-on experience with Databricks and PySpark.
Expertise in Apache Airflow DAG development and orchestration.
Proficiency in Python and advanced SQL.
Experience with data warehousing and cloud-based data platforms.
Knowledge of performance tuning, data modeling, and ETL best practices.

Preferred Skills:
Experience with AWS, Azure, or GCP.
Familiarity with Delta Lake, CI/CD, and Agile methodologies.

Experience:
10 Years experience

Interested candidates please apply using this link-

📌 Data Engineer Hyderabad (India)
🏢 Employ
📍 India