Develop & Optimize Data Pipelines Architect, build, and enhance scalable data pipelines for high-performance processing.
Troubleshoot & Sustain Identify, diagnose, and resolve data pipeline issues to ensure operational efficiency.
Data Architecture & Storage Design effective data storage and retrieval strategies using Postgres, Redshift, and other databases.
CI/CD Pipeline Management Implement and maintain continuous integration and deployment strategies for smooth workflow automation.
Scalability & Performance Tuning Ensure the robustness of data solutions while optimizing performance at scale.
Collaboration & Leadership Work closely with cross-functional teams to ensure seamless data flow and lead engineering best practices.
Security & Reliability – Establish governance protocols and ensure data integrity across all pipelines.

Technical Skills Required:
Programming: Expert in Python and Scala
Big Data Technologies: Proficient in Spark, Kafka
DevOps & Cloud Infrastructure: Solid understanding of Kubernetes
SQL & Database Management: Skilled in SQL administration, Postgres, Redshift
CI/CD Implementation: Experience in automating deployment processes for effective workflow

📌 Lead Aws Data Engineer Python & Scala Bengaluru
🏢 iLink Digital
📍 Bengaluru