Senior Engineer

• Inclusive culture and career growth opportunities
• Global IT Organization which collaborates across U.S., Canada, Europe and Australia
• Challenging, collaborative, and team-based environment

What you will do:

• Enterprise Data & Analytics thrives on strong relationships with our business partners and working diligently to address their needs which support TJX India growth and operational stability. On this tightly knit and fast-paced solution delivery team you will be constantly challenged to stretch and think outside the box.
• You will have a real opportunity to be a part of TJX s transformation to a data driven culture, with the autonomy to work with the business to unlock game changing insights that drive business value. We have modernized our technology stack to focus on the cloud and top tier tools. We are looking for someone who embraces the use of technology to build, manage, and govern data.
• As a Senior Engineer at TJX India, you will work with a team that partners with the EDA Data Foundation team and delivers products for one or more customer analytics product teams.

Key Responsibilities:

• Ability to understand the functional and technical design architecture implemented in Datalake on Snowflake
• Ability to lead team of ETL developers and guide them on business / Functional requirement and help in technical area
• Extract, transform and load from various sources system to snowflake using a combination of Talend, Azure Data factory, Snowflake, Data Lake Analytics, Data ingestion to one or more Azure services
• Collaborate effectively within Data Technology teams, Business Information teams to design and build optimized data flows from source to Data visualization
• Develop and deploy performance optimization methodologies
• Strong in drafting functional and technical documentation
• Support the Solutioning team from architectural design , testing and implementation
• Design and architect end-to-end data engineering pipelines, ensuring optimal performance, reliability, and scalability
• Develop and maintain data integration processes, including ETL/ELT workflows and data ingestion pipelines
• Evaluate and recommend emerging technologies and tools to enhance the data architecture and engineering capabilities
• Provide technical leadership and guidance to junior team members, fostering a culture of collaboration and innovation
• Ensure compliance with data governance and security policies, including data privacy regulations
• Be a part of data modernization projects providing direction on matters of overall design and technical direction, acts as the primary driver toward establishing guidelines and approaches
• Excellent communication and collaboration skills, with the ability to effectively bridge the gap between technical and non-technical audiences

What You will Need (Minimum Qualifications):

• At least 5 years in-depth, data engineering experience and execution of ETL (Talend) data pipelines, scripting and SQL queries
• A minimum of 2 years of experience in building enterprise level solution on 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 experience on hands-on coding in python and/or pyspark on Azure Databricks environment
• 3 years of experience working in Agile and Scrum frameworks
• Extensive knowledge of Data warehousing and ability to understand star schema
• Work experience in relational database and hands-on on writing SQL queries, stored procedure extensively
• Highly proficient in Data analysis - analysing SQL, Python scripts, ETL/ELT transformation scripts
• Implement CI/CD pipelines for application deployment using Azure DevOps

Preferred Qualifications:

• Experience in Talend (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
• Experience in Datastage and other ETL tool is a plus
• Bachelor s degree in computer science, Engineering, Mathematics, a technical field, or equivalent practical experience.