Location: Bangalore Experience: 4+ Years NoticePeriod: Imm to 15 Days Budget: 28 LPA Mode of Work: WFO JD:Develops and maintains scalable data pipelines to supportcontinuing increases in data volume and complexity. Collaborateswith analytics and business teams to improve data models that feedbusiness intelligence tools, increasing data accessibility andfostering data-driven decision making across the organization.Implements processes and systems to monitor data quality, ensuringproduction data is always accurate and available for keystakeholders and business processes that depend on it. Writesunit/integration tests, contributes to engineering wiki, anddocuments work.



Performs data analysis required to troubleshootdata related issues and assist in the resolution of data issues.Works closely with a team of frontend and backend engineers,product managers, and analysts. Defines company data assets (datamodels), spark, sparkSQL, and hiveSQL jobs to populate data models.Designs data integrations and data quality framework. BasicQualifications: BS or MS degree in Computer Science or a relatedtechnical field 4+ years of Python or Java development experience4+ years of SQL experience (No-SQL experience is a plus) 4+ yearsof experience with schema design and dimensional data modelling 4+years of experience with Big Data Technologies like Spark, Hive 2+years of experience on data engineering on Google Cloud platformservices like big query.

📌 Data Engineer (GCP) (Karnataka)
🏢 Talent Smart
📍 Karnataka