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Publié il y a 24 jours

Data Lead

@ Tata Consultancy Services

Toronto, Ontario

Temps plein
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SIGNAUX

Résumé des exigences :

  • With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients.
  • Must Have Technical/Functional Skills
  • • years of experience as a Data Engineer, with years in GCP.
  • • Experience with Terraform, Cloud Build, or other infra as code tools.
  • • Experience with streaming pipelines and real-time analytics.
  • • Collaborate with senior team members to gather requirements and for review of test strategy
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-10-18
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Tata Consultancy Services

ChampValeur
Offres sur Jobsy98
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.

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 Description

Must Have Technical/Functional Skills

• years of experience as a Data Engineer, with years in GCP.

• Strong expertise in:

• BigQuery (querying, partitioning, clustering, optimization)

• Dataflow / Apache Beam

• Pub/Sub

• Cloud Composer (Airflow)

• Dataproc (Spark, Hadoop)

• Proficiency in SQL, Python, and data modeling.

• Experience with Terraform, Cloud Build, or other infra as code tools.

• Strong understanding of distributed systems, data warehousing, and big data processing.

• Experience with streaming pipelines and real-time analytics.

• Design and build scalable, secure, and high performance data pipelines on GCP.

• Develop and optimize ETL/ELT workflows using Cloud Composer, Dataflow, Dataproc, and BigQuery.

• Implement data ingestion frameworks for batch and streaming data (Pub/Sub, Kafka, Dataflow).

• Model, partition, and optimize datasets in BigQuery for analytics use cases.

• Collaborate with data scientists, architects, and business teams to deliver end to end data solutions.

• Ensure data quality, reliability, and robustness through monitoring, validation, and automation.

• Implement CI/CD pipelines for data workflows using Cloud Build, Git, and Terraform.

• Optimize cost, performance, and scalability across GCP data services.

• Ensure security best practices, IAM policies, and compliance with organization standards

Roles & Responsibilities

• Design and build scalable, secure, and high performance data pipelines on GCP.

• Develop and optimize ETL/ELT workflows using Cloud Composer, Dataflow, Dataproc, and BigQuery.

• Implement data ingestion frameworks for batch and streaming data (Pub/Sub, Kafka, Dataflow).

• Model, partition, and optimize datasets in BigQuery for analytics use cases.

• Collaborate with data scientists, architects, and business teams to deliver end to end data solutions.

• Ensure data quality, reliability, and robustness through monitoring, validation, and automation.

• Implement CI/CD pipelines for data workflows using Cloud Build, Git, and Terraform.

• Optimize cost, performance, and scalability across GCP data services.

• Ensure security best practices, IAM policies, and compliance with organization standards.

• Collaborate with senior team members to gather requirements and for review of test strategy

• Testing of GCP applications

• Work with other team members to ensure project deadlines are met.

• Participate in team meetings to discuss project updates and progress.

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

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.

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