Location: Bangalore Experience: 4+ Years Notice
Period: Imm to 15 Days Budget: 28 LPA Mode of Work: WFO JD:
Develops and maintains scalable data pipelines to support
continuing increases in data volume and complexity. Collaborates
with analytics and business teams to improve data models that feed
business intelligence tools, increasing data accessibility and
fostering data-driven decision making across the organization.
Implements processes and systems to monitor data quality, ensuring
production data is always accurate and available for key
stakeholders and business processes that depend on it. Writes
unit/integration tests, contributes to engineering wiki, and
documents work. Performs data analysis required to troubleshoot
data 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 (data
models), spark, sparkSQL, and hiveSQL jobs to populate data models.
Designs data integrations and data quality framework. Basic
Qualifications: BS or MS degree in Computer Science or a related
technical field 4+ years of Python or Java development experience
4+ years of SQL experience (No-SQL experience is a plus) 4+ years
of 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 platform
services like big query.

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