The Data Engineering Specialist works on different projects of data engineering to support the use cases, data ingestion pipeline, data warehouse, data lake and enterprise big data platform with multi-datacenter contexts and identify potential process or data warehousing issues. Identify the architecture, infrastructure and interface to data sources, tools supporting automated data loads, security concerns, analytical models and data visualization. The Data Engineer team supports marketing analytic teams with analytical tools that enable our analytics and business communities to do their job easier, faster and smarter. The team brings together data from different internal & external partners and builds a curated Marketing analytics focused data & tools ecosystem. The Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need.
Essential Job Functions
Project Management: Builds data pipeline for various data sources, particularly from many external data sources,
such as brand data and other data from vendors and ingestion of public data sources. Works with other project team members to understand the use cases, familiar with data sources, provides recommendation on data ingestion processes, complete data ingestion, monitor and identify potential process or data quality issues. Collaborates with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules.
Collaboration - Collaborates with internal/external stakeholders to manage data logistics – including data specifications, transfers, structures, and rules. Collaborates with business users, business analysts and technical architects in transforming business requirements into analytical workbenches, tools and dashboards reflecting usability best practices and current design trends. Demonstrates analytical, interpersonal and skilled communication skills. Learns quickly and works ef
📌 Staff Data Engineer (Bengaluru)
🏢 Bread Financial
📍 Bengaluru
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