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Popular data engineering role in Bangalore at a well-known global brand, high applicant density and competition.
Core data engineering skills transferable, though Customer 360 and MDM domain experience preferred.
Multiple mandatory years, cloud and specific tech requirements increase filtering rigor.
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Lead Customer 360 Data Product initiatives coordinating data integration, ingestion, curation, and establishing a Common Data Model across Customer & Sales data domain.
Collaborate with business units and regional partners to align data strategy, governance frameworks, and develop scalable data capabilities meeting business needs.
Hands-on responsibility for data engineering, operating with cloud-based tools and technologies to enable business use cases and drive data product evolution.
Undergraduate degree in Technology, Computer Science, Statistics, Economics, Applied Data Sciences, or related fields.
7+ years in IT with specialization in Data & Technology Architecture, Data Engineering, and Data Operations.
Minimum 5 years hands-on experience with Cloud Architecture (Azure, GCP, AWS) and cloud-based databases (Synapse, Databricks, Snowflake) plus data integration tools like DBT, SQL/PySpark, Python.
Work Experience Required: 7+ years; Location: Hybrid Bangalore, India. Notice period: Not explicitly mentioned in the JD.
Experienced in designing and implementing data products for Customer 360 and Sales Data applying data mesh/fabric architecture concepts.
Technically proficient in complex data integration pipelines (API, stream, flat files) and skilled in cloud data engineering on Azure or similar platforms.
Strategic thinker bridging technical and business teams, capable of translating business needs into scalable data solutions with strong governance and quality controls.