TJX India

Senior Engineer

Job Location

hyderabad, India

Job Description

About TJX: At TJX, is a Fortune 100 company that operates off-price retailers of apparel and home fashions. TJX Global IT India - Hyderabad is the IT home office in the global technology organization of off-price apparel and home fashion retailer TJX, established to deliver innovative solutions that help transform operations globally. At TJX, we strive to build a workplace where our Associates contributions are welcomed and are embedded in our purpose to provide excellent value to our customers every day. At TJX Global IT India, we take a long-term view of your career. We have a high-performance culture that rewards Associates with career growth opportunities, preferred assignments, and upward career advancement. We take well-being very seriously and are committed to offering a great work-life balance for all our Associates. What you will discover: 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 TJXs 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 Bachelors degree in computer science, Engineering, Mathematics, a technical field, or equivalent practical experience. Come Discover Different at TJX India. From opportunity and teamwork to growth, we think youll find that its so much more than a job. When youre a part of our global TJX family, you have the full support of a diverse, close-knit group of people dedicated to finding great deals and fantastic style. Best of all? They have a lot of fun doing it. We care about our culture, but we also prioritize the tangible stuff (Competitive salaries: check. Solid benefits: check. Plenty of room for advancement: of course). Its our way of empowering you to make your career here. We consider all applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, gender identity and expression, marital or military status. We also provide reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Location: hyderabad, IN

Posted Date: 4/18/2025
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TJX India

Posted

April 18, 2025
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