Data Developer

Tata Consultancy Services; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

Tata Consultancy Services Canada Inc. is seeking a Data Developer to design, build, and optimize data pipelines and warehouse solutions. You will work with SQL, Python, and cloud data platforms to deliver reliable analytics-ready data assets.

Collaborate with business analysts, data analysts, and engineers to translate requirements into scalable data models, perform data quality checks, and support reporting with Tableau/Looker. Toronto-based role with hybrid options.

Job description

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: -

Role: Data Developer

Key Responsibilities

• Design, develop, and maintain database objects, scripts, queries, and data processing logic using SQL and Python.
• Analyze business and technical requirements and translate them into scalable data solutions.
• Support data extraction, transformation, loading, validation, reconciliation, and reporting activities across multiple data platforms.
• Develop and optimize SQL queries, stored procedures, and scripts to support data analysis, reporting, and operational needs.
• Work with relational and cloud-based databases such as Oracle, IQ, BigQuery, and HANA, as applicable.
• Collaborate with business analysts, data analysts, architects, quality engineering teams, and business stakeholders to understand data requirements and resolve issues.
• Assist in data modeling activities, including understanding source-to-target mapping, relationships, business rules, and data lineage.
• Support dashboard/reporting development or validation using tools such as Tableau and Looker.
• Perform data quality checks, troubleshoot data issues, and support root cause analysis for defects or production incidents.
• Prepare and maintain technical documentation, data mapping documents, design notes, deployment steps, and support handover materials.

Must have Skills

• Strong hands-on experience with SQL, including writing, debugging, and optimizing complex queries.
• Proficiency in Python for data processing, automation, scripting, and analysis.
• Solid understanding of database concepts, including tables, views, joins, indexes, keys, normalization, stored procedures, and data integrity.
• Ability to analyze data, troubleshoot issues, and validate results across source and target systems.
• Experience working with large datasets and applying data quality, reconciliation, and validation techniques.
• Strong communication skills with the ability to work with technical and business stakeholders.

Good to have Skills

• Experience with database platforms such as Oracle, IQ, BigQuery, and SAP HANA.
• Understanding of ETL concepts, including extraction, transformation, loading, scheduling, monitoring, and error handling.
• Knowledge of data modeling concepts such as conceptual, logical, and physical models; star schema; snowflake schema; facts; dimensions; and source-to-target mapping.
• Experience with reporting and visualization platforms such as Tableau and Looker.
• Exposure to data warehousing, analytics platforms, cloud data services, and enterprise reporting environments.

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.