4–7 yrsBengaluruHybridDirect career pageEst. 12–20 LPA
Posted on 4 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, and optimize scalable data pipelines and analytical datasets in multi-cloud environments (Snowflake, AWS, GCP).
- Integrate and harmonize complex multi-source ERP data (SAP ECC, Atlas, JDE, Baan) for Corporate Functions in Finance and Master Data domains.
- Ensure data quality, governance, and reusable analytic-ready datasets supporting downstream reporting and analytics.
Minimum Requirements
- 4–7 years of experience in data engineering and/or data analysis.
- Strong proficiency in SQL and Python programming.
- Experience with Snowflake, AWS, GCP, Ataccama, and Atlan (or similar data catalog/governance tools).
- Practical understanding of data modelling fundamentals and experience building/maintaining data pipelines and analytical datasets.
Ideal Candidate Profile
- Operationally strong data engineer with hands-on experience across SQL, Python, and multi-cloud data platforms.
- Experienced in integrating ERP data sources into governed, enterprise-scale data environments serving Finance/Master Data stakeholders.
- Able to translate complex business requirements into structured, reusable data transformations with adherence to governance and CI/CD practices.