ETL Data Engineer

Remote – Canada

Full-time Only

We are seeking an experienced ETL Data Engineer to design, build, and optimize modern data pipelines and integration frameworks across cloud platforms. The ideal candidate will have strong expertise in Spark, PySpark, and Azure Databricks, with hands‑on experience in data warehousing, governance, and business intelligence solutions.

Responsibilities

- Design and implement scalable ETL/ELT pipelines for batch and streaming data.
- Modernize legacy ETL workflows and lead cloud migration initiatives.
- Develop high‑performance data processing solutions using Spark, PySpark, and Azure Databricks.
- Build and maintain enterprise data warehouse solutions in Snowflake.
- Ensure data quality through validation, reconciliation, and governance frameworks.




- Deliver business intelligence solutions and dashboards using Power BI and Tableau.
- Collaborate with cross‑functional teams to translate business requirements into scalable data solutions.
- Optimize pipeline performance and cost efficiency across cloud environments.

Required Skills

- Robust proficiency in ETL/ELT pipeline development and data integration.
- Hands‑on experience with Azure Databricks, ADF, ADLS Gen2, and Snowflake.
- Expertise in PySpark, Spark SQL, and SQL for large‑scale data processing.
- Familiarity with BI tools such as Power BI and Tableau.
- Knowledge of data governance, reconciliation, and CI/CD practices.
- Experience collaborating with stakeholders to deliver business‑aligned solutions.

📌 ETL Data Engineer (Canada)
🏢 Arkhya Tech.
📍 Canada