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Mid-level, popular Data Engineer title in Bangalore with broad cloud/ERP and governance requirements yields high competition.
Requires ERP/finance data experience plus cloud and governance tooling, making background moderately industry-sensitive.
Explicit 4–7 years and mandatory Snowflake, Ataccama, SQL, Python, and cloud experience increase shortlisting strictness to high.
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.
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.
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.