Senior Engineer

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.