Senior data engineer
2 months ago
1. 5+ Years of experience.
2. Good Understanding of Cloud Platform like GCP (VPC, GCS, Stackdriver, Apigee), AWS
(S3, Cloud Watch).
3. Good Understanding of IAAC – Terraform, Gitlab
4. Strong knowledge of Java 7+, Spring Boot, Maven, Junits to build sustainable, reusable API’s
on microservices patterns
5. Good Understanding of Products like Airflow (Python Based), Snowflake (Data
warehouse). Should be able to create pipelines in snowflake and have good understanding of
ETL (SQL Based) process and optimisations.
6. Data Pipeline Development: Design, develop, and optimize data pipelines and ETL processes
to support data integration from multiple sources into a centralized data warehouse or data
lake.
7. Data Architecture & Infrastructure: Build and maintain scalable, reliable, and high-
performance data architectures; drive data modeling, schema design, and optimization of data
storage.
8. Data Quality & Governance: Implement data quality checks, validation frameworks, and data
governance policies to ensure data accuracy, consistency, and reliability.
9. Performance Optimization: Analyze and improve data system performance to handle large-
scale, high-velocity data streams.
10. Collaboration & Stakeholder Engagement: Collaborate closely with data analysts, data
scientists, and business stakeholders to understand data needs, provide technical expertise, and
enable data driven solutions.
11. Documentation & Best Practices: Create documentation, establish best practices, and
conduct code reviews to uphold data engineering standards and support team growth.
Work Location - Chennai ( Hybrid work model allowed)
Job Type: Full-time
Pay: ₹9,00,000.00 - ₹12,00,000.00 per year
Work Location: In person
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