Azure DB/DF Developer

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. About TCS: TCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive-powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile™ delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS employs over 612,000 of the world’s best-trained consultants in 55 countries. The company generated consolidated revenues of US $29 billion in the fiscal year ended March 31, 2024, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award-winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index. Job Summary: Seeking a highly skilled and experienced Azure Databricks, Data Factory Developer to join our team of experts in building and deploying data pipelines and data lakes on the Microsoft Azure platform. The successful candidate will have a strong background in Azure Databricks, Data Factory, and related technologies, with experience in designing and implementing data pipelines, data lakes, and data warehouses. Experience Required – • Good Years of Hands-on experience in Azure DB/DF Developer role. Key Responsibilities: • Design, develop, and deploy data pipelines and data lakes on Azure Databricks and Data Factory • Collaborate with data engineers and data scientists to design and implement data architectures and data pipelines • Develop and maintain data pipelines using Azure Databricks, Data Factory, and related technologies • Work with data stakeholders to understand data requirements and develop data pipelines to meet those requirements • Develop and maintain data lakes and data warehouses on Azure Databricks and Data Factory • Collaborate with DevOps teams to deploy and monitor data pipelines and data lakes • Participate in code reviews and ensure that all solutions are aligned with the company's coding standards and best practices • Stay up to date with industry trends and best practices in data engineering and data architecture Technical Skills: • Good years of experience in data engineering, data architecture, and related technologies • Strong background in Azure Databricks, Data Factory, and related technologies • Experience with data pipelines, data lakes, and data warehouses • Strong understanding of data architecture and data engineering principles • Experience with data modeling, data governance, and data quality • Strong programming skills in languages such as Python (Pyspark), Scala, and SQL • Experience with Azure Databricks, Data Factory, and related technologies • Bachelor's degree in computer science, Information Technology, or related field Functional Skills – • Strong understanding of data architecture and data engineering principles • Experience with Azure Databricks, Data Factory, and related technologies • Strong programming skills in languages such as Python, Scala, and SQL • Experience with data pipelines, data lakes, and data warehouses • Strong understanding of data modeling, data governance, and data quality • Ability to work in a fast-paced environment and prioritize multiple tasks • Strong analytical and problem-solving skills Domain experience – Banking and Finance domain preferred Certification/Qualifications Required (If Any) – Nice to Have • Experience with cloud-based data platforms such as Azure Synapse Analytics, Azure Cosmos DB, and Azure Data Lake Storage • Experience with data science and machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch • Experience with data visualization tools such as Tableau, Power BI, and D3.js • Certification in Azure Databricks, Data Factory, or related technologies 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 accommodations 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.

Location: Toronto, CA

Posted Date: 4/18/2025