Data Engineer (Kafka / PySpark / Hadoop) (Winnipeg)

Data Engineer (Kafka / PySpark / Hadoop) (Winnipeg)

15 Sep
|
Realign
|
Winnipeg

15 Sep

Realign

Winnipeg

Job Title:

Data Engineer – Kafka / PySpark / Hadoop Location:

Toronto, ON Work Model:

Onsite Job Type:

Full Time (FTE) Job Description

We are seeking an experienced

Data Engineer

with robust hands‑on expertise in

Kafka, PySpark, Python, and Hadoop

to design, develop, and support scalable batch and real‑time data pipelines. The ideal candidate will have strong experience working with large-scale distributed data processing environments and enterprise data integration solutions. Key Responsibilities

Design, develop, and maintain scalable

batch and real-time data pipelines . Develop data processing applications using

Python and PySpark/Apache Spark . Build and support

Kafka-based data ingestion and streaming pipelines . Work with Hadoop and related technologies to process large volumes of data. Develop and maintain ETL/ELT pipelines for data ingestion, transformation, cleansing, and integration. Perform data validation, reconciliation, and quality checks. Troubleshoot pipeline failures, data discrepancies, and performance issues. Optimize Spark/PySpark jobs and SQL queries for performance and scalability.



Monitor data pipelines and resolve production issues. Collaborate with data architects, developers, analysts, and business teams. Participate in Agile development, testing, deployment, and production support activities. Required Skills

Strong hands‑on experience with

Python

for data engineering and automation. Strong expertise in

PySpark / Apache Spark . Hands‑on experience with

Apache Kafka

for real‑time data ingestion and streaming. Strong experience with the

Hadoop ecosystem

and distributed data processing. Strong SQL skills and experience working with large datasets. Experience developing and maintaining

ETL/ELT data pipelines . Strong understanding of distributed computing and data processing concepts. Experience with data ingestion, transformation, cleansing, and integration. Strong troubleshooting and performance optimization skills. Good to Have

Hive Databricks Git and CI/CD Airflow or Autosys Relational and NoSQL databases

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📌 Data Engineer (Kafka / PySpark / Hadoop) (Winnipeg)
🏢 Realign
📍 Winnipeg

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