Data Engineer - Big Data / PySpark

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Role Summary

An experienced Data Engineer with strong expertise in Big Data technologies to design, develop, and support enterprise-scale data platforms. The ideal candidate should possess hands-on experience in PySpark, Apache Spark, Kafka, Hadoop ecosystem components, and Apache NiFi, with a strong understanding of data ingestion, transformation, and real-time processing frameworks.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using PySpark, Spark, Hadoop, and Apache NiFi.
• Build and maintain batch and real-time data processing solutions.
• Develop and support Kafka-based streaming applications and event-driven architectures.
• Create and optimize ETL/ELT workflows for large-scale structured and unstructured datasets.
• Develop complex SQL queries for data extraction, transformation, validation, and troubleshooting.
• Implement data ingestion solutions from databases, APIs, files, and streaming sources.
• Monitor, troubleshoot, and enhance the performance of Spark jobs and data pipelines.
• Collaborate with architects, business analysts, and development teams to deliver high-quality data solutions.
• Support platform upgrades, deployments, testing, certification, and production releases.
• Ensure data quality, governance, security, and operational excellence across data platforms.

Mandatory Skills

• PySpark
• Apache Spark (Spark SQL, DataFrames)
• Apache Kafka
• Hadoop Ecosystem (HDFS, Hive, YARN)
• Apache NiFi
• SQL
• Python

Preferred Skills

• Spark Streaming
• Airflow / Oozie
• Hive
• Scala
• Jenkins, Bitbucket, Git
• JIRA, Confluence
• Cloud Platforms (GCP, AWS, Azure)
• Data Warehousing Concepts and Dimensional Modeling

Salary Range - CA$ 90,000 - CA$ 100,000 Per Year

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.