Apps Dev Tech Lead Analyst - C13 - MISSISSAUGA

Responsibilities

• Design, develop, and maintain scalable, high-performance data pipelines and data-centric applications using Python and PySpark.
• Optimize and tune complex PySpark jobs to ensure efficiency and performance on large-scale distributed datasets.
• Architect and implement ETL/ELT processes to ingest data from a wide variety of source systems into our data lake and data warehouse.
• Collaborate with data scientists, BI analysts, and software engineers to understand data requirements and deliver high-quality data solutions.
• Develop and enforce data quality standards, including data validation, cleansing, and monitoring frameworks.
• Contribute to the design and evolution of our data platform architecture, promoting best practices in data engineering.
• Mentor and guide junior engineers, providing technical leadership and fostering a culture of continuous learning and improvement.
• Automate workflows and processes using tools like Apache Airflow, and implement CI/CD for data engineering solutions.
• Troubleshoot and resolve complex data and pipeline issues in a timely manner..
• Recommended Qualifications: .8+ years of professional experience in data engineering or software development with a focus on data-intensive applications.
• Expert-level proficiency in Python, including a deep understanding of its data structures, libraries (e.g., Pandas, NumPy), and best practices for writing clean, efficient code.
• Extensive hands-on experience with Apache Spark and its Python API (PySpark), including performance tuning, optimization, and understanding of Spark's architecture (RDDs, DataFrames, Datasets).
• Strong experience with distributed data processing and big data technologies (e.g., Hadoop ecosystem, HDFS, Hive).
• Advanced proficiency in SQL and experience with various database technologies.
• Strong analytical and problem-solving skills with the ability to tackle complex data challenges.
• Excellent communication and collaboration skills.
• Education: Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field This job description provides a high-level review of the types of work performed.
• Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location Full Time Salary Range: $120,800.00 - $170,800.00 ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Automated Processing and AI We use automated processing, including artificial intelligence, for our legitimate business interests (or our reasonable and appropriate business purposes) to identify and align the candidate's skills and abilities with a specific job opening.
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