Data Engineer - Spark, Databricks & Snowflake (Energy)- DESDSAS

Job Title : Data Engineer – Spark, Databricks & Snowflake (Energy)Industry

Energy & Utilities

Position Overview

We 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.

Required Skills

• 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

Preferred Skills

• Smart Grid Analytics
• Energy Trading Data
• Renewable Energy Operations
• IoT and Time-Series Data Management

Mandatory Experience

• 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 [email protected]