Data Engineer - Spark, Databricks & Snowflake (Energy)- DESDSAS
NavitasPartners
Energy & Utilities
Position OverviewWe are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms supporting operational, customer, asset, and energy market analytics. The ideal candidate will have strong expertise in Databricks, Spark, Snowflake, and cloud-based data engineering solutions.
Responsibilities- Develop scalable ETL/ELT pipelines using Spark and Databricks.
- Build enterprise data solutions on Snowflake.
- Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems.
- Design batch and real-time data ingestion frameworks.
- Optimize data performance, reliability, and scalability.
- Implement data quality and monitoring processes.
- Support predictive maintenance and asset performance analytics initiatives.
- Apache Spark (PySpark, Spark SQL)
- Databricks
- Snowflake
- Python, SQL
- Azure Data Factory, AWS Glue, or GCP Dataflow
- Kafka/Event Streaming
- Delta Lake
- CI/CD and DevOps practices
- Smart Grid Analytics
- Energy Trading Data
- Renewable Energy Operations
- IoT and Time-Series Data Management
- 5+ years of Data Engineering experience.
- Must have prior experience working within the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading sector.
For more details reach at View email address on navitasp.talentnest.com
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