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Strong global brand, popular data role, metro location and broad skillset increase competition.
Specialized platform skills (ODI, Snowflake, Microsoft Fabric) make cross-industry fit moderately sensitive.
Mandates 9+ years plus specific ODI, Snowflake, Oracle and Kafka skills.
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Own end-to-end development and maintenance of data engineering pipelines and ETL/ELT processes primarily using Oracle Data Integrator (ODI) and Snowflake.
Design and implement data models including Data Vault and dimensional models for scalable data warehousing solutions across multiple source systems.
Collaborate with architects and business stakeholders to deliver data lifecycle solutions covering ingestion, transformation, storage, and reporting within Microsoft Fabric and related ecosystems.
9+ years of relevant experience in BI development or data engineering roles.
Strong hands-on experience with Oracle Data Integrator (ODI), Snowflake data warehousing and SQL/PLSQL development.
In-depth knowledge of Data Warehousing concepts including Data Marts, ODS, OLAP, Dimensional Data Modeling (Star Schema, Snowflake), and Data Vault modeling.
Excellent English communication skills and ability to work UK shift (2:00 PM to 10:00 PM) in a hybrid work mode in Pune or other Indian locations.
Experienced in managing full data lifecycle projects involving ingestion from diverse sources (Oracle, SQL Server, DB2, REST APIs, Kafka, JSON/XML) into EDW environments.
Skilled in using Azure DevOps and Git for CI/CD pipeline and source control management in data projects.
Familiar with Microsoft Fabric ecosystem for data modelling, reporting, and Lakehouse/Warehouse management to support end-to-end BI solutions.