Work Arrangement: Hybrid: 3 Days/Week WFO Domain: BFSI Application Deadline: October 15th, 2026 About the Role

We are looking for an experienced

Big Data Lead

to design, develop, and maintain scalable data solutions using

PySpark, Spark SQL, Python, and distributed computing technologies . Job Description: -

Required Skills & Experience 8+ years of experience in

Big Data / Data Engineering . Strong hands-on experience with

PySpark and Apache Spark . Robust programming skills in

Python . Excellent knowledge of

Spark SQL

and distributed data processing. Experience designing and developing

ETL/ELT data pipelines . Strong understanding of distributed computing and big data concepts. Experience working with

Hadoop/HDFS, Hive, cloud storage, or data lake platforms . Strong understanding of Spark performance tuning,



including partitioning, caching, joins, shuffles, and resource optimization. Experience writing

unit tests and data validation frameworks . Strong SQL skills and experience working with large datasets. Experience with data pipeline monitoring, troubleshooting, and production support. EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

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📌 Big Data Lead (Winnipeg)
🏢 Pacer Group
📍 Winnipeg