Lead - Data Engineering

Tesco India; Bengaluru; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work model

Disability inclusion

Job summary

Tesco India Bengaluru is seeking a data engineer/data analytics professional to design, develop and maintain scalable data pipelines and data warehouse solutions.

You will drive data analysis, build dashboards, and collaborate with cross-functional teams to translate business requirements into robust analytical solutions.

Qualifications

• 4-6+ years of experience in Data Engineering, Data Analytics, Data Warehousing or related domains.
• Hands-on experience in SQL, Teradata, Hive, Hadoop/HDFS and Python. Experience in designing and developing ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of data modelling concepts and performance optimization techniques.
• Ability to analyze large datasets and solve complex business problems using analytical techniques. Experience working independently and as part of a fast-paced cross-functional team.
• Skills: SQL, Python, Teradata, Hive, Hadoop/HDFS, Data Warehousing, Data Modelling, ETL/ELT Development, Workflow Automation, Query Optimization & Performance Tuning, Statistical Analysis, Data Quality & Data Governance

Responsibilities

• Represent Talent Acquisition in all forums/seminars pertaining to process, compliance and audit.
• Drive CI culture, implementing CI projects and innovation within the team.
• Drive data analysis for testing key business hypotheses and business asks, developing visualizations, self-service tools and dashboards for recurring business requirements.
• Design, develop and maintain scalable data pipelines, ETL/ELT processes and analytical data solutions.
• Build and optimize data warehouse solutions using SQL, Teradata, Hive, Hadoop and Python-based technologies.
• Design and maintain data models, data structures and ER diagrams to support business requirements.
• Ensure data quality, integrity and availability across datasets and analytical solutions.
• Collaborate with business and technology teams to translate business requirements into scalable engineering and analytical solutions.
• Mentor team members and support delivery of projects aligned to expected performance and quality standards.

Skills

SQL

Python

Teradata

Hive

Hadoop

Data Warehousing

Data Modelling

ETL/ELT

Workflow Automation

Performance Tuning

Data Quality

Data Governance

Tools

Azure Data Services

Spark/PySpark

Airflow

Tableau

API Integrations

Job description

Represent Talent Acquisition in all forums/seminars pertaining to process, compliance and audit.

Perform other miscellaneous duties as required by management.

Driving CI culture, implementing CI projects and innovation within the team.

Drive data analysis for testing key business hypotheses and business asks, developing visualizations, self-service tools and dashboards for recurring business requirements.

Design, develop and maintain scalable data pipelines, ETL/ELT processes and analytical data solutions.

Build and optimize data warehouse solutions using SQL, Teradata, Hive, Hadoop and Python-based technologies.

Design and maintain data models, data structures and Entity Relationship Diagrams (ERDs) to support business requirements.

Ensure data quality, integrity and availability across datasets and analytical solutions.

Optimize queries, pipelines and data processing workloads to improve performance and reduce execution times.

Ensure analysis, data products and dashboards are developed with the right technical rigor and align with Tesco technical standards.

Continuously investigate data, tables and processes to identify anomalies, inaccuracies, missing data, leakages and improvement opportunities.

Collaborate with business and technology teams to translate business requirements into scalable engineering and analytical solutions.

Contribute to knowledge assets, reusable modules and documentation on GitHub/Wiki.

Mentor team members and support delivery of projects aligned to expected performance and quality standards.

Refer to "About the Role"

• 4-6+ years of experience in Data Engineering, Data Analytics, Data Warehousing or related domains.
• Hands-on experience in SQL, Teradata, Hive, Hadoop/HDFS and Python. Experience in designing and developing ETL/ELT pipelines and data warehouse solutions.
• Strong understanding of data modelling concepts and performance optimization techniques.
• Ability to analyze large datasets and solve complex business problems using analytical techniques. Experience working independently and as part of a fast-paced cross-functional team.
• Skills:
• SQL (Advanced), Python, Teradata, Hive, Hadoop/HDFS, Data Warehousing, Data Modelling, ETL/ELT Development, Workflow Automation, Query Optimization & Performance Tuning, Statistical Analysis, Data Quality & Data Governance
• Good to Have (Not Mandatory):
• Azure Data Services, Spark/PySpark, Airflow, CI/CD Practices, Tableau/Data Visualization, Retail & Supply Chain Analytics, API Integrations.
  

At Tesco, inclusion is at the heart of everything we do. We believe in treating everyone fairly and with respect, valuing individuality and uniqueness to create a true sense of belonging. Diversity and inclusion are deeply embedded in our values—we treat people how they want to be treated. Our goal is for all colleagues to feel they can be themselves at work, and we are committed to helping them thrive. Across the Tesco group, we are building an inclusive workplace that actively celebrates the cultures, personalities, and preferences of our colleagues, who in turn contribute to the success of our business and reflect the diversity of the communities we serve.

At Tesco Bengaluru, we are proud to be a Disability Confident Committed Employer, highlighting our commitment to creating a supportive environment for individuals with disabilities. We are dedicated to offering equal opportunities for all candidates and encourage applicants with disabilities to apply. Our recruitment process is fully accessible, and we are happy to provide reasonable adjustments during interviews. If you need any accommodations to participate in the recruitment process, please let us know. We are here to ensure that everyone has the chance to succeed.

We also believe in fostering a work environment where you can excel both professionally and personally. Our hybrid model allows you to work flexibly - spend 60% of your week collaborating in person with colleagues at our office locations or local sites, and the rest of the time working remotely. We understand that everyone's life journey is unique, whether you are starting your career, pursuing passions, or navigating life changes, and we are here to support you. Flexibility is a core part of our culture, and we encourage open conversations about how we can best accommodate your needs, so talk to us throughout your application process on the support required.