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Job Description
Structured overview of role & requirementsAbout This Role
Own end-to-end delivery of automated, scalable data processing solutions including ELT/ETL pipelines and data platform integrations.
Translate stakeholder requirements into technical designs and clear documentation for multi-team audiences.
Collaborate across Data Engineering & Architecture teams to support and evolve the Data Platform roadmap in a fast-paced commercial setting.
Minimum Requirements
Minimum 2 years experience delivering data solutions commercially.
Hands-on experience with modern cloud platforms (AWS preferred; Azure or GCP also acceptable).
Proficient in ETL/ELT tools and approaches, SQL (DML and DDL), and cloud data warehousing solutions like Snowflake, Databricks, or BigQuery.
Role is hybrid based in Mumbai.
Ideal Candidate Profile
Experienced working in dynamic commercial environments requiring reliable estimation and timely delivery.
Skilled at communicating complex technical concepts clearly to both technical and non-technical stakeholders.
Practices best-in-class data engineering standards with a focus on scalable, secure, and robust data solutions.
