Job Description
Data Pipeline Architecture: Build and optimize large-scale data ingestion pipelines from multiple sources.
Scalability & Performance: Ensure low-latency, high-throughput data processing for real-time and batch workloads.
Cloud Infrastructure: Design and implement cost-effective, scalable data storage solutions.
Automation & Monitoring: Implement observability tools for pipeline health, error handling, and performance tracking.
Security & Compliance: Ensure data encryption, access control, and regulatory compliance in the data platform.
Ideal Candidate Profile:
Strong experience in Snowflake, dbt, and AWS for large-scale data processing.
Expertise in Python, Airflow, and Spark for orchestrating pipelines.
Deep understanding of data architecture principles for real-time and batch workloads.
Hands-on experience with Kafka, Kinesis, or similar streaming technologies.
Ability to work on cloud cost optimizations and infrastructure-as-code (Terraform, CloudFormation).
💡 Quick Summary
Seeking a career-building opportunity? The Sr Data Platform Engineer (Snowflake/Terraform) position is now open for candidates interested in the IT Engineer & Developer Jobs sector. This role in Pune offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in IT Engineer & Developer Jobs is a plus.
