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Strong Tier-1 brand and Bengaluru metro increase competition; niche Microsoft Fabric requirement narrows applicant pool.
Core data engineering skills are transferable, but Microsoft Fabric specialization increases domain specificity.
Explicit 8–10 years plus mandatory Microsoft Fabric and data engineering skills makes filters highly stringent.
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Own design and engineering of data pipelines and data lakes using Microsoft Fabric components such as Lakehouse, Data Factory, and Synapse Data Engineering.
Accountable for data pipeline performance optimization and managing CU consumption efficiently.
Implement data governance, security, schema validation, and complex rate management in global currency/exchange-rate pipelines.
Mandatory expertise in Microsoft Fabric technologies.
8-10 years of hands-on experience in data engineering roles.
Proficient in SQL, Python/PySpark/Pandas, data modeling, and transactional/rate pipeline engineering.
Location requirement: Bengaluru, Karnataka.
Experienced in large-scale data pipeline design and performance tuning within enterprise environments.
Skilled in data governance and security implementations, particularly with complex rate structure management.
Strong background in global currency or exchange-rate pipeline implementation and capability to optimize BI/data visualization workflows.