Lead the development and maintenance of scalable, reliable data pipelines and data processing frameworks supporting a variety of business and product use cases.

Ensure data quality, integrity, and readiness by establishing and maintaining standards, validation processes, and monitoring frameworks.

Collaborate with cross-functional teams (Data Science, Product, Analytics, Infrastructure, and Engineering) to deliver end-to-end data solutions.

Identify and implement ETL/ELT processes, focusing on code robustness, automation, efficiency, and operational excellence.

Integrate emerging technologies to enhance data engineering capabilities and support evolving business needs.

Ensure timely, high-quality delivery while balancing multiple priorities.

Act as a subject matter expert on data modeling, pipeline optimization, large-scale data processing, and best practices.

Ensure compliance with internal policies and external data regulations, promoting secure and responsible data usage across the team.

All About You

Extensive experience as a Data Engineer or in a similar role, with deep expertise in data engineering principles, data modeling, and pipeline development.

Experience working with big data and distributed systems (e.g. Spark, Hadoop,



cloud-native big data services).

Strong working experience in Databricks, Hadoop-pySpark and related tools and technologies like, Apache Airflow, NiFi along with open formats like Delta and Iceberg

Robust SQL knowledge translating into analytical skills required for data analysis and defect management process

Strong understanding of data quality frameworks, validation methods, and monitoring tools

Familiarity with Agile methodologies and modern DevOps practices for data engineering

Working with CI/CD pipelines and modern source control practices

Strong communication skills - both verbal and written and solid relationship, collaboration skills and organizational skills

Ability to be high-energy, detail-oriented, proactive and able to function under pressure in an independent environment along with a high degree of initiative and self-motivation to drive results

Ability to quickly learn and implement recent technologies, and perform POC to explore best solution for the problem statement

Flexibility to work as a member of a matrix based diverse and geographically distributed project teams
J-18808-Ljbffr

📌 Lead Data Engineer Winnipeg
🏢 ITMC Systems
📍 Winnipeg