Back
Tier-1 brand, mid-level generalist role, metro location, and broad skillset increase candidate competition.
Requires specific data engineering tools and warehousing experience, so cross-industry fit is moderately constrained.
Explicit 4-6 years plus mandatory SQL, Teradata, Hive, Hadoop and Python skills make filtering strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and maintain scalable data pipelines, ETL/ELT processes, and data warehouse solutions using SQL, Teradata, Hive, Hadoop, and Python.
Drive data analysis for testing business hypotheses, develop visualizations, self-service tools, and dashboards for recurring business needs.
Ensure data quality, optimize data processing workloads, maintain data models/ERDs, mentor team members, and align deliverables with Tesco technical standards.
4-6+ years of experience in Data Engineering, Data Analytics, or Data Warehousing.
Hands-on expertise with SQL (Advanced), Teradata, Hive, Hadoop/HDFS, Python, ETL/ELT development, and data modelling.
Strong skills in query optimization, performance tuning, data quality, and data governance.
Work Experience Required: 4-6+ years in relevant domains. Notice period: Not explicitly mentioned in the JD.
Experienced in independently handling complex data engineering projects within fast-paced, cross-functional teams.
Demonstrates strong technical rigor and ability to translate business requirements into scalable engineering and analytical solutions.
Familiar with performance optimization and building reusable knowledge assets/documentation for team benefit.