Senior Engineer-Data Analytics

Posted Yesterday
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500081, Hitech City, Telangana
In-Office
Senior level
eCommerce • Fashion • Retail
The Role
The Senior Engineer will design and implement Data Analytics solutions, develop scalable data pipelines, and guide junior engineers while collaborating with cross-functional teams to achieve business objectives.
Summary Generated by Built In
TJX Companies

At TJX Companies, every day brings new opportunities for growth, exploration, and achievement. You’ll be part of our vibrant team that embraces diversity, fosters collaboration, and prioritizes your development. Whether you’re working in our four global Home Offices, Distribution Centers or Retail Stores—TJ Maxx, Marshalls, Homegoods, Homesense, Sierra, Winners, and TK Maxx, you’ll find abundant opportunities to learn, thrive, and make an impact. Come join our TJX family—a Fortune 100 company and the world’s leading off-price retailer. 

Job Description:

What you’ll discover

  • Inclusive culture and career growth opportunities 
  • A truly Global IT Organization that collaborates across North America, Europe, Asia and Australia, click here to learn more 
  • Challenging, collaborative, and team-based environment 

Our Organization:

The Global Stores and Supply Chain Solution Delivery organization is responsible for delivering technology solutions to drive growth, enable efficiency, and improve customer experience at the front-line in our stores and managing various supply chain related solutions within TJX IT.

We are expanding our organizational footprint, and need your help to accomplish our vision! You will have a real opportunity to be a part of driving over $50B in annual revenue and make our stores a destination that our customers love.

The Data & Analytics function thrives on strong relationships with our business partners and working diligently to address their needs, which support TJX growth and operational stability. On this tightly knit and fast-paced solution delivery team, you will be constantly challenged to stretch and think creatively. 

As we expand our capabilities, we are growing our presence in India to include a new focus on Data Analytics. Associates in India will work closely with global teams to mature and scale our services.

What you’ll do

We seek a motivated, talented Senior Engineer with good understanding of cloud architecture, data warehousing, data modeling concepts to help design enterprise data engineering and reporting solutions across global stores organization.

You will be working with product teams, architecture and business partners to strategically plan and deliver the product features by connecting the technical and business worlds. You will need to break down complex problems into steps that drive product development while keeping product quality and security as the priority. You will be responsible for most design and technical decisions within assigned scope. 

Key Responsibilities: 

  • Design, develop, test and deploy Data Analytics solutions using Snowflake, Data Bricks, and Azure Data Factory services to meet business requirements
  • Design and implement scalable data pipelines and ETL processes for structured and unstructured data.
  • Develop and maintain data models for analytics and reporting
  • Integrate data from multiple sources (databases, APIs, cloud platforms) into centralized data warehouses or lakes.
  • Work closely with product teams, architects, and data scientists to deliver data solutions and translate business requirements into technical specifications.
  • Guide junior engineers and provide best practice recommendations. 
  • Conduct code reviews and ensure adherence to Data engineering standards. 
  • Stay updated with the latest advancements in Data analytics and cloud technologies, demonstrating a commitment to continuous learning and improvement
  • Develop solid understanding of the end-to-end business application processes. 
  • Recommend enhancements to improve reporting efficiency and user experience. 

Minimum Qualifications

  • Bachelor’s Degree or equivalent Engineering skillset / training / work experience in relevant technical domain
  • 5+ years of strong development experience with medium to large data warehouse solutions while working in an Agile (Scrum/Kanban/SAFe) environment.
  • Strong background in data warehousing, data modeling, and API integrations
  • Hands-on experience in leading and delivering medium to large scale projects end to end whilst maintaining good understanding of Coding standards, Performance tuning and database concepts.
  • Demonstrated leadership in the fields of data warehousing, database, or data science.
  • Strong communication and influence skills. Solid team player with mentorship skills.
  • Ability to understand the work environment and competing priorities in conjunction with developing/meeting project goals.
  • Shows a positive, open-minded, and can-do attitude.
  • Strong automation and engineering mindset.
  • Data Modeling, Data Governance, Data Profiling, DevSecOps practices, production deployments, and test planning.

Experience in the following technologies:

  • Strong experience with Azure Data Factory, Databricks, Snowflake, and Power BI for building scalable data pipelines and analytics solutions.
  • Proficiency in SQL and PL/SQL for complex query development, performance tuning, and data manipulation.
  • Experience working with distributed architectures, RESTful APIs, and cloud platforms including any one of them like Azure, AWS, or Oracle Cloud Infrastructure (OCI).
  • Working knowledge of GitHub or similar source control systems for collaborative development and code management.
  • Proficient in Shell Scripting for automation of system tasks and data workflows.
  • Experience working in both RHEL (Linux) and Windows environments for deployment and troubleshooting.
  • Familiarity with scheduling tools (e.g., Control-M, Autosys, Azure Scheduler, or equivalent) for managing batch jobs and workflow automation.

Nice To Have

  • Programing languages like C#, .Net, Spark, Python, PySpark.
  • Experience with tools such as JIRA, Service NOW.
  • Knowledge of IT Security & Compliance
  • ADLS (Azure Data Lake Storage)

In addition to our open door policy and supportive work environment, we also strive to provide a competitive salary and benefits package. TJX considers 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, or based on any individual's status in any group or class protected by applicable federal, state, or local law. TJX also provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law.

Address:

Salarpuria Sattva Knowledge City, Inorbit Road

Location:

APAC Home Office Hyderabad IN

Top Skills

Autosys
AWS
Azure
Azure Data Factory
Azure Scheduler
Control-M
Databricks
Distributed Architectures
Git
Oracle Cloud Infrastructure
Pl/Sql
Power BI
Restful Apis
Rhel
Shell Scripting
Snowflake
SQL
Windows
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The Company
HQ: Framingham, MA
46,062 Employees

What We Do

TJX is the leading off-price apparel and home fashions retailer in the U.S. and worldwide, with four global home offices, seven brands, nearly 4,700 stores in nine countries, and five distinctive branded e-commerce sites. As Associates, we make a difference with our contributions—collaborating in delighting shoppers with hidden treasures.

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