NavitasPartners - 624 Jobs
Kingston, ON
Posted today
Job Details:
Full-time
Experienced
Job Title : Data Engineer – Spark, Databricks & Snowflake (Energy)Industry
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 [email protected]
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Frequently Asked Questions
This position is based in Kingston, ON.
It is a full-time Data Engineer role in Information Technology.
The role requires Apache Spark (PySpark, Spark SQL), Databricks, Snowflake, Python, SQL, and experience with Azure Data Factory, AWS Glue, or GCP Dataflow, plus Kafka/Event Streaming and Delta Lake.
Develop scalable ETL/ELT pipelines using Spark and Databricks, build enterprise data solutions on Snowflake, integrate data from SCADA, IoT sensors, ERP, CRM, and trading systems, and design batch and real-time data ingestion frameworks.
Yes, the role supports operational, customer, asset, and energy market analytics within the Energy and Utilities sector, including predictive maintenance and asset performance analytics.
The role involves optimizing data performance, reliability, and scalability, implementing data quality and monitoring processes, and working with Delta Lake and time-series/IoT data management concepts.
Interested candidates can email [email protected] for more details or to apply.
