We are looking for a Data Engineer with strong 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:
6-10 Years experience
Interested candidates please apply using this link- https://app.employlabs.ai/apply/nrtwSkXHo9
📌 Data Engineer (Hyderabad)
🏢 Employ
📍 Hyderabad
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.