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Data Engineer

  • Montreal, QC, Canada

Full-time

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Job details

Job type
Full-time
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Posting language
English
Posted

Original job description


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.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming 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 and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Job Description :-

Job Summary

We are seeking an experienced Data Engineer with a strong background in Asset Management to handle enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.

Key Responsibilities

  • Own end-to-end data platform delivery, operational excellence, and SLA adherence.
  • Drive scalable data pipeline development, data quality, and platform reliability.
  • Manage cross-functional dependencies, stakeholder communication, and issue escalations.
  • Ensure high availability, monitoring, alerting, and production support readiness.
  • Collaborate with business, portfolio management, and technology leadership teams.
  • Define and implement best practices for platform governance, operational readiness, and performance optimization.

Required Skills

  • Strong experience with Databricks, Apache Spark, and performance tuning.
  • Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design.
  • Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms.
  • Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation.
  • Strong platform management, monitoring, and incident management experience.
  • Excellent leadership and stakeholder management skills.

Preferred Domain Experience

  • Asset Management
  • Investment Management
  • Capital Markets
  • Portfolio & Market Data Platforms

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.

More about this job

Responsibilities

Own end-to-end data platform delivery, including scalable pipeline development, data quality, reliability, operational excellence, and SLA adherence. Coordinate stakeholders and cross-functional dependencies, support production readiness, and implement governance and performance best practices.

Requirements

Requires strong experience with Databricks, Apache Spark, performance tuning, and Apache Airflow or Astronomer, along with deep knowledge of data engineering, ETL/ELT, and large-scale data platforms. Candidates should also have experience with CI/CD, DevOps, infrastructure as code, automation, platform operations, and leadership; asset or investment management experience is preferred.

Skills

  • Databricks
  • Apache Spark
  • Performance Tuning
  • Apache Airflow
  • Astronomer
  • Workflow Orchestration
  • DAG Design
  • Data Engineering
  • ETL/ELT
  • CI/CD
  • DevOps
  • Infrastructure as Code
  • Automation
  • Platform Management
  • Monitoring
  • Incident Management

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software
  • Management & Leadership
  • Finance & Accounting

Keywords

  • Databricks
  • Apache Spark
  • Performance Tuning
  • Apache Airflow
  • Astronomer
  • Workflow Orchestration
  • DAG Design
  • Data Engineering
  • ETL/ELT
  • Large-Scale Data Platforms
  • CI/CD
  • DevOps
  • Infrastructure as Code
  • Automation
  • Data Pipelines
  • Data Quality
  • Platform Reliability
  • SLA Adherence
  • Monitoring
  • Alerting
  • Production Support
  • Incident Management
  • Platform Governance
  • Performance Optimization
  • Asset Management
  • Investment Management
  • Capital Markets
  • Portfolio Management
  • Market Data Platforms
  • Stakeholder Management

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