Senior Data Platform Engineer

Location: Pune (Hybrid) Experience: 5+ years Key Responsibilities: 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).,