📋 Job Details at a Glance 📍 Location Hyderabad, TS 500081 🏢 Company TJX Companies 👥 Experience 5+ years 🎓 Qualification 5+ years. Hands-on with Python, Java, SQL, Azure, APIs, CI/CD, Spark. Relevant technical / engineering background 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Python Java SQL Azure APIs CI/CD Spark distributed systems Senior Engineer - Data Analytics at TJX Companies — Full Details & How to Apply is seeking a Senior Engineer - Data Analytics in Hyderabad, TS 500081 , where you will design enterprise data engineering solutions using Python and Azure . This role is critical for building scalable data pipelines that support the global stores organization. This Senior Engineer - Data Analytics role involves designing enterprise data engineering and reporting solutions, directly impacting how data is processed and delivered across TJX’s operations. The position requires hands-on development using tools such as Python , Java , SQL , Azure , APIs , CI/CD , and Spark . Candidates will work on distributed systems to build reliable, high-performance data workflows that connect technical capabilities with business outcomes. TJX Companies is recruiting for a Senior Engineer - Data Analytics role in Hyderabad, TS 500081. The position emphasizes technical depth and enterprise-level data solutions. The role is part of TJX Companies ’ technology team focused on data engineering and reporting. All details are derived from the official job posting. 2023, 2024, 2025, 2026 graduates with 5+ years. Hands-on with Python, Java, SQL, Azure, APIs, CI/CD, Spark. Relevant technical / engineering background and 5+ years experience are eligible. The salary is Not Disclosed . Candidates will gain hands-on experience with Python , Java , SQL , Azure , APIs , CI/CD , and Spark . This role provides a foundation for advancing into senior data engineering or analytics leadership positions within large-scale enterprise environments. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Senior Engineer - Data Analytics jobs , explore TJX Companies recruitment , and find Hyderabad, TS 500081 jobs in the tech sector. Job Role & Responsibilities The Senior Engineer - Data Analytics at TJX Companies designs and deploys scalable data pipelines using Azure and SQL , ensuring real-time telemetry accuracy and system performance across enterprise retail operations. This role directly impacts data reliability, operational efficiency, and product feature delivery through technical execution. Design enterprise data engineering solutions using Azure services such as Azure Data Factory and Azure Synapse, ensuring fault tolerance and scalability for high-volume transaction data. Develop data processing scripts in Python to extract, transform, and load (ETL) retail transaction data from source systems into centralized data lakes. Implement robust data solutions in Java for backend data services, focusing on performance, thread safety, and integration with legacy retail systems. Integrate third-party data sources via APIs using REST and GraphQL protocols, ensuring consistent data ingestion and error handling in production environments. Monitor data pipeline performance using Spark job metrics such as execution time, memory usage, and task failure rates to detect anomalies and optimize throughput. Optimize query performance in SQL by analyzing execution plans and indexing strategies for large-scale retail database workloads. Maintain existing codebases in Python and Java , performing regular refactoring and security audits to ensure long-term stability and compliance. Document data workflows and reporting mechanisms using structured documentation tools like Confluence or Azure DevOps, enabling cross-functional teams to understand data lineage and processing logic. This role requires direct ownership of data systems, where every decision on Spark configuration, SQL query design, or Azure deployment has measurable impact on data accuracy and operational performance across TJX’s retail ecosystem. Required Skills & Technical Competencies The role demands a strong technical foundation in data engineering tools and languages, with a focus on practical implementation in production environments. Candidates must demonstrate hands-on proficiency in Python , Java , SQL , Azure , APIs , CI/CD , and Spark to deliver reliable, scalable data solutions. Technical Skills Python — advanced — used for building data pipelines, performing ETL operations, and executing complex data transformations in Spark and SQL environments. Java — intermediate to advanced — applied for developing backend data services with high concurrency and fault tolerance in retail data systems. SQL — advanced — essential for querying large-scale databases, writing optimized queries, and managing data integrity in Azure SQL and on-premise systems. Azure — advanced — leveraged for deploying data platforms using Azure Data Lake, Azure Blob Storage, and Azure Monitor to track data health and performance. APIs — intermediate — used to integrate external data sources and internal systems via REST and GraphQL endpoints, with emphasis on error handling and rate limiting. CI/CD — intermediate — applied to automate deployment of data scripts and pipeline updates using Azure DevOps pipelines and GitHub Actions. Spark — advanced — utilized to process petabyte-scale transaction data in distributed environments, with focus on job scheduling, memory tuning, and fault recovery. When showcasing these skills, emphasize specific projects where you used Python to process transaction logs, SQL to optimize query performance, or Spark to run nightly ETL jobs on Azure platforms with measurable throughput improvements. Eligibility Criteria This role is designed for candidates with a strong technical background in data engineering and at least 5 years of hands-on experience in Python , SQL , and Azure environments. It is not open to freshers or those with less than 5 years of relevant experience. Must hold a Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field. Eligible only for candidates from the 2023, 2024, 2025, and 2026 batches. Minimum of 5 years of professional experience in data engineering, with direct exposure to Python , SQL , and Azure platforms. CGPA of 3.0 or above is required for admission consideration. Must submit a technical portfolio demonstrating real-world projects involving Spark , SQL , or Python data processing. Experience with CI/CD pipelines and distributed systems is a mandatory requirement for eligibility. Documentation & Portfolio Requirements Your resume must include a clear section on technical projects, listing each project with a brief description, Python or SQL code snippets, and performance metrics such as data volume processed or query execution time reduction. For this role, prioritize including a portfolio that shows Spark job execution logs, SQL query performance benchmarks, and Azure deployment records — these are the exact metrics TJX evaluates during technical screening. Salary for Senior Engineer - Data Analytics at TJX Companies 💰 Compensation Not Disclosed The advertised compensation for the Senior Engineer - Data Analytics role at TJX Companies is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Senior Engineer - Data Analytics Upskilling with the right resources significantly enhances your chances of selection for this specialized role, equipping you with the necessary skills and knowledge. Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. Java — Important for building robust data applications and services. SQL — Crucial for database management and querying data effectively. Azure — Key for cloud-based data solutions and analytics. KodNest — Helps in mastering coding skills relevant to data engineering. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience in Python or SQL — ensure to include relevant projects. ❌ Using a generic resume instead of tailoring it to the specific responsibilities listed — customize your resume for this role. ❌ Listing technologies like Azure without context on how they were applied in past roles — provide specific examples. ❌ Ignoring the requirement for 5+ years of experience and applying as a fresher — ensure you meet the experience criteria. ❌ Adding unrelated skills to increase ATS keywords — focus on relevant experience instead. ❌ Not verifying the official Apply URL and job details before submission — always double-check before applying. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that the candidate meets the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to the resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Senior Engineer - Data Analytics Optimizing your resume for ATS is crucial for this role, ensuring that your application stands out in automated screenings. ATS Keywords to Include Data Analytics Python Java SQL Azure APIs CI/CD Spark Distributed Systems Technical Communication DevOps Machine Learning Resume Tips for This Role Highlight your 5+ years of experience in data analytics prominently on your resume. Showcase your hands-on experience with Python , Java , SQL , and Azure . Include projects that demonstrate your ability to design data engineering solutions. Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported technologies or claims that you cannot substantiate. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including unrelated skills or experiences that do not align with the job requirements. How to Apply for Senior Engineer - Data Analytics at TJX Companies Apply Now — TJX Companies Open the official Apply URL and confirm the job title and company matches " Senior Engineer - Data Analytics " at TJX Companies . Prepare a resume that aligns with the required skills, responsibilities, qualifications, and experience outlined in the job posting. Complete the official application form accurately, ensuring all information is truthful and avoiding unsupported claims. Submit the application and save the confirmation or application reference number if provided by the portal. Record the application date and monitor the official company portal or registered email for updates. Applications are reviewed on a rolling basis — early submission is recommended. Apply Now — TJX Companies NexisGrow.com does not charge any fees for job applications. TJX Companies TJX Companies is a technology firm based in Hyderabad, TS 500081. This Senior Engineer - Data Analytics role operates onsite and supports data engineering initiatives within the company's global operations. The position is part of a technology-driven environment focused on enterprise data solutions. The team designs enterprise data engineering and reporting solutions, collaborating with product teams, architecture, and business partners. Responsibilities include solving complex problems, building scalable data systems, and connecting technical capabilities with business needs through data modeling and cloud architecture. This role offers early-career exposure to cloud architecture, data warehousing, and data modeling concepts using tools like Python , Java , SQL , Azure , APIs , CI/CD , and Spark . It provides hands-on experience with distributed systems and real-world data engineering workflows. Company Details Industry Technology Location Hyderabad, TS 500081 Connect With Us Careers Apply Now Website 🔗 tjx.wd1.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 5+ years of experience, from eligible batches 2023 to 2026. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, Java, SQL, Azure, APIs, CI/CD, and Spark are crucial for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review your experience with Python and SQL. 2. Prepare examples of data engineering projects. 3. Familiarize yourself with Azure tools. 4. Understand data warehousing concepts. 5. Be ready to discuss collaboration with product teams. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Hyderabad. ? What career exposure can this role provide? Growth Tap to expand + Answer Exposure to cloud architecture, data modeling, and collaboration with product and business teams. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight your experience with Python, SQL, Azure, and any relevant data engineering projects. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer You will collaborate with product teams, architecture, and business partners. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 5+ years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at TJX Companies Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com