Senior Data Engineer

This job posting is for an existing, active vacancy and we are looking to hire Sr. Data Engineer as WFH (Canada only), who has experience in Python programming, PySpark, Azure Databricks, Spark SQL, DataFrames, Datasets, Real-time Data Streaming, Azure Data Services \& Advanced SQL.

Note: This position is with TECH M, please don't apply for this position. If you had submitted your profile to TECH M earlier.

Role Overview

• 5-8 years of hands-on experience in software development, with a strong emphasis on Python programming.
• Deep expertise in PySpark for building and optimizing scalable data pipelines.
• Proficient in designing and implementing real-time data streaming solutions using Spark SQL, DataFrames, and Datasets.
• Solid experience with Azure Databricks, including working with Delta tables, workflows, and scripting in Python.
• Familiar with Azure cloud services, especially Azure Data Lake, Azure Data Factory, and EventHub or Kafka for streaming data ingestion.
• Skilled in writing complex SQL queries and building views involving joins across multiple tables.
• Experience across the Software Development Lifecycle (SDLC), with a strong grasp of Agile Scrum methodologies.
• Proficient in tools like Jira (project management), Confluence (documentation), and GitHub (version control and CI/CD pipelines).

Soft Skills \& Collaboration:

• Strong collaboration mindset with enthusiasm for mobbing sessions and cross-team coordination.
• Excellent problem-solving and code review skills.
• Strong communication skills with the ability to understand business requirements and translate them into technical solutions.
• Proactive and responsive during business hours for any ad-hoc calls or meetings.
• Demonstrated ability to prioritize effectively, think creatively, and adapt quickly to new technologies and feedback.