Data Engineer (Spark, Python, AWS/GCP, Databricks)
- Source: Naukri
- Epam Systems
- On-site
- Hyderabad
- Full-Time
- Mid level
Job Description
Face-to-Face Drive for Data Engineers! on -17-Oct-2026 | Call -Prasad 7709618055
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 - 7709618055 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.
Skills
- Spark
- Python
- amazon-web-services
- google-cloud-platform
- azure-databricks
- databricks
- pyspark
- delta-lake
- unity-3d
- amazon-s3
- amazon-emr
- aws-glue
- amazon-athena
