Data Engineer (Spark, Python, AWS/GCP, Databricks)

Face-to-Face Drive for Data Engineers! on -17-Oct-2026 | Call -Prasad [phone removed]
If you're interested in this opportunity and are available to join within Immediate to 30 Days, connect with me today and get yourself screened- Call or WhatsApp Prasad - [phone removed] to schedule your discussion.

Data Engineer (Spark, Python, AWS/GCP, Databricks)

Experience: 6+ Years
Location: Hyderabad

Required Skills

• Strong experience in Python, PySpark, SQL
• Hands-on experience with AWS + Databricks OR GCP + Databricks
• Experience in building and maintaining ETL/ELT pipelines
• Good understanding of Data Warehousing and Big Data concepts
• Experience with Spark performance tuning and optimization
• Hands-on experience with Delta Lake, Databricks Workflows, Notebooks, Jobs, and Unity Catalog
• Experience with cloud services such as:
• AWS: S3, EMR, Glue, Athena
• GCP: GCS, Dataproc, BigQuery, Dataflow
• Experience working with relational and NoSQL databases

Responsibilities

• Develop scalable data pipelines using Spark and Python.
• Design and implement cloud-based data solutions on AWS or GCP.
• Build, optimize, and maintain ETL processes.
• Collaborate with cross-functional teams to deliver data-driven solutions.
• Ensure data quality, performance, and reliability across platforms.

Keywords: Spark, PySpark, "", SQL, Databricks, AWS, GCP, Delta Lake, ETL, Data Engineering.