Software Development Engineer II - Azure Data Engineering

Tesco India  •  Bengaluru, Karnataka, India  •  Full-Time  •  Permanent  •  Apply by 07-Jun-2025 About the role We are looking for a skilled Data Engineer to join our team, working on end-to-end data engineering and data science use cases. The ideal candidate will have strong expertise in Python or Scala, Spark (Databricks), and SQL, building scalable and efficient data pipelines on Azure. What is in it for you At Tesco, we are committed to providing the best for you.    As a result, our colleagues enjoy a unique, differentiated, market- competitive reward package, based on the current industry practices, for all the work they put into serving our customers, communities and planet a little better every day.    Our Tesco Rewards framework consists of pillars - Fixed Pay, Incentives, and Benefits.     Total Rewards offered at Tesco is determined by four principles -simple, fair, competitive, and sustainable.    Salary - Your fixed pay is the guaranteed pay as per your contract of employment.    Leave & Time-off - Colleagues are entitled to 30 days of leave (18 days of Earned Leave, 12 days of Casual/Sick Leave) and 10 national and festival holidays, as per the company’s policy.    Making Retirement Tension-FreeSalary - In addition to Statutory retirement beneets, Tesco enables colleagues to participate in voluntary programmes like NPS and VPF.    Health is Wealth - Tesco promotes programmes that support a culture of health and wellness including insurance for colleagues and their family. Our medical insurance provides coverage for dependents including parents or in-laws.    Mental Wellbeing - We offer mental health support through self-help tools, community groups, ally networks, face-to-face counselling, and more for both colleagues and dependents.     Financial Wellbeing - Through our financial literacy partner, we offer one-to-one financial coaching at discounted rates, as well as salary advances on earned wages upon request.     Save As You Earn (SAYE) - Our SAYE programme allows colleagues to transition from being employees to Tesco shareholders through a structured 3-year savings plan.     Physical Wellbeing - Our green campus promotes physical wellbeing with facilities that include a cricket pitch, football field, badminton and volleyball courts, along with indoor games, encouraging a healthier lifestyle.  You will be responsible for

• Design, build, and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, and Spark.
• Develop and optimize data workflows using SQL and Python or Scala for large-scale data processing and transformation.
• Implement performance tuning and optimization strategies for data pipelines and Spark jobs to ensure efficient data handling.
• Collaborate with data engineers to support feature engineering, model deployment, and end-to-end data engineering workflows.
• Ensure data quality and integrity by implementing validation, error-handling, and monitoring mechanisms.
• Work with structured and unstructured data using technologies such as Delta Lake and Parquet within a Big Data ecosystem.
• Contribute to MLOps practices, including integrating ML pipelines, managing model versioning, and supporting CI/CD processes.

You will need Primary Skills:

• Data Engineering & Cloud:
• Proficiency in Azure Data Platform (Data Factory, Databricks).
• Strong skills in SQL and [Python or Scala] for data manipulation.
• Experience with ETL/ELT pipelines and data transformations.
• Familiarity with Big Data technologies (Spark, Delta Lake, Parquet).
• Data Optimization & Performance:
• Expertise in data pipeline optimization and performance tuning.
• Experience on feature engineering and model deployment.
• Analytical & Problem-Solving:
• Strong troubleshooting and problem-solving skills.
• Experience with data quality checks and validation.

Nice-to-Have Skills:

• Exposure to NLP, time-series forecasting, and anomaly detection.
• Familiarity with data governance frameworks and compliance practices.
• Basics of AI/ML like:
• ML & MLOps Integration
• Experience supporting ML pipelines with efficient data workflows.
• Knowledge of MLOps practices (CI/CD, model monitoring, versioning)

About us Tesco in Bengaluru is a multi-disciplinary team serving our customers, communities, and planet a little better every day across markets. Our goal is to create a sustainable competitive advantage for Tesco by standardising processes, delivering cost savings, enabling agility through technological solutions, and empowering our colleagues to do even more for our customers. With cross-functional expertise, a wide network of teams, and strong governance, we reduce complexity, thereby offering high-quality services for our customers.    Tesco in Bengaluru, established in 2004 to enable standardisation and build centralised capabilities and competencies, makes the experience better for our millions of customers worldwide and simpler for over 3,30,000 colleagues    Tesco Technology   Today, our Technology team consists of over 5,000 experts spread across the UK, Poland, Hungary, the Czech Republic, and India. In India, our Technology division includes teams dedicated to Engineering, Product, Programme, Service Desk and Operations, Systems Engineering, Security & Capability, Data Science, and other roles.    At Tesco, our retail platform comprises a wide array of capabilities, value propositions, and products, essential for crafting exceptional retail experiences for our customers and colleagues across all channels and markets. This platform encompasses all aspects of our operations – from identifying and authenticating customers, managing products, pricing, promoting, enabling customers to discover products, facilitating payment, and ensuring delivery. By developing a comprehensive Retail Platform, we ensure that as customer touchpoints and devices evolve, we can consistently deliver seamless experiences. This adaptability allows us to respond flexibly without the need to overhaul our technology, thanks to the creation of capabilities we have built.