Senior Engineer

Overview

Senior Engineer on the Enterprise Data & Analytics team at TJX India, building cloud data engineering solutions on Snowflake and Azure that support customer analytics product teams.

What you'll do

• Design end-to-end data engineering solutions on Snowflake and Azure Data Lake.
• Design and optimize scalable ETL/ELT pipelines using ETL (Talend), Databricks, Azure Data Factory, and Snowflake.
• Translate business and functional requirements into robust technical designs and implementations.
• Drive performance tuning, cost optimization, reliability, and scalability of data pipelines.
• Collaborate with data, analytics, and visualization teams to deliver high-quality data products.
• Develop and maintain detailed functional and technical documentation.
• Support solutioning efforts across design, testing, and implementation phases.
• Ensure data governance, security, and privacy standards are embedded into data pipelines.
• Contribute to data modernization initiatives by defining patterns, standards, and best practices.
• Evaluate and adopt new tools and technologies to improve data engineering capabilities.
• Communicate effectively with both technical and non-technical stakeholders.

What you'll need

• At least 5 years of in-depth data engineering experience and execution of ETL (Talend/Datastage) data pipelines, scripting and SQL queries.
• A minimum of 2 years of experience in an Azure cloud environment with Azure Function, Azure Databricks, Azure Event Hub, Azure Event Grid, Azure Data Lake, Azure Data Factory.
• A minimum of 1 year of hands-on coding in Python and/or PySpark in an Azure Databricks environment.
• 3 years of experience working in Agile and Scrum frameworks.
• Good knowledge of data warehousing and ability to understand star schema.
• Work experience in relational databases and hands-on experience writing SQL queries and stored procedures extensively.

Nice to have

• Experience in ETL (4+ years) for implementing large scale Data Engineering projects.
• Experience in Data Engineering and DevOps knowledge.
• Experience in programming languages like SQL, Python/PySpark, Shell Scripting and Scala.
• Experience in Azure Functions, Azure Data Factory, Logic Apps and Spark platforms.
• Bachelor's degree in computer science, Engineering, Mathematics, a technical field, or equivalent practical experience.

Details

• Location: Salarpuria Sattva Knowledge City, Inorbit Road, APAC Home Office, Hyderabad, IN.