Machine Learning Engineer at Tata Consultancy Services
Ontario, Ontario, Canada -
Full Time


Start Date

Immediate

Expiry Date

29 Dec, 26

Salary

45000.0

Posted On

30 Sep, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Industry

Consumer Services

Description

Job Description :-

Job SummaryWe 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.

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Responsibilities

Job Description :-

Job SummaryWe 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.

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