LEAD SOFTWARE ENGINEER
- Python
- AWS
- Scala
- Java
- Hive
- SAS
- PySpark
- AWS Glue
- EMR
- Athena
- SQL
- Data Modeling
- Git
- CI/CD
- Agile
TORONTO - ONSITE - CONTRACT
Primary Skill : Python, Spark, SRE
15+YRS EXP.
Skill Cluster : Data-Cloudera with AWS Native Services, Spark,Python/Scala/Java,Kafka,HDFS, Hive.
Job Description :
SAS Conversion SME with Python Expertise Location: PCS CA~TORONTO Years of Experience: 15-30 Years Job Summary: We are seeking highly experienced SAS Conversion Subject Matter Experts (SMEs) with strong expertise in Python, PySpark, AWS, and modern data platforms to support the migration and transformation of legacy SAS-based analytics jobs into scalable and maintainable Python-based solutions. The ideal candidate will act as a liaison between the DnA Business Teams and the technical implementation teams, assessing existing SAS workloads and identifying conversion opportunities. Responsibilities: - Engage with Business and Analytics teams to analyze existing SAS jobs and reporting pipelines. - Conduct in-depth analysis and impact assessment of SAS-based workloads, recommending appropriate Python-based transformation solutions. - Design and develop reusable, scalable, and maintainable Python/PySpark scripts for batch and real-time data processing in a cloud environment. - Translate SAS data processing logic into Python or PySpark code, ensuring functional parity and performance optimization. - Collaborate with Data Engineers, BI Analysts, and QA teams to ensure end-to-end solution quality. - Assist in data validation and reconciliation to confirm migration completeness and correctness. Mandatory Skills: - Python - Expert (9/10) - PySpark - Advanced (8/10) - AWS (Glue, S3, Lambda, EMR, Athena) - Advanced (8/10) - Cloud Platforms (AWS preferred) - Advanced (8/10) - Big Data (Spark ecosystem) - Advanced (8/10) - SQL & RDBMS - Expert (9/10) - SAS Programming (Read/Analyze) - Intermediate (6/10) Preferred Skills: - BI & Analytics Concepts - Advanced (8/10) - Data Warehousing - Intermediate (7/10) - Data Modeling - Intermediate (6/10) - Git / CI-CD Tools - Intermediate (6/10) - Agile Delivery Frameworks - Intermediate (6/10) Qualifications: - Bachelor's degree in Computer Science, Information Technology, or a related field. - Proven experience in data migration and transformation projects, with a strong focus on SAS to Python conversions. - Cloudera CDP experience is a deal breaker.
LEAD SOFTWARE ENGINEER · Epsilon Solutions LTD