SENIOR ENGINEER - DATA ANALYTICS
HireWand (company site, opens in a new tab)2–5 yrsBengaluruOn-siteDirect career pageEst. 8–18 LPA
Posted 22h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable ETL/ELT data pipelines using Azure Data Factory, Databricks, Snowflake across Azure and AWS clouds.
- Develop and support data lakes, warehouses, and lakehouse architectures using Medallion Architecture to produce analytics-ready datasets.
- Ensure data quality, reliability, and performance by monitoring pipelines, troubleshooting failures, and collaborating with data architects and analytics teams.
Minimum Requirements
- 2-5 years of relevant data engineering experience.
- Strong programming skills in Python and SQL.
- Experience with data engineering tools like Azure Data Factory, Databricks, Snowflake, and distributed processing frameworks like Spark/PySpark.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Ideal Candidate Profile
- Hands-on operational experience building and optimizing enterprise-scale ETL/ELT pipelines in cloud environments (Azure/AWS).
- Familiarity with modern data architectures including lakehouse implementations and Medallion Architecture.
- Capable of working cross-functionally with architects, engineering leads, and business stakeholders to deliver reliable and maintainable data platforms.