Senior Data Engineer

Key Responsibilities:
Design and develop real-time & batch data pipelines
Build streaming systems using Apache Flink / Spark Streaming
Develop scalable ELT pipelines across multiple data sources
Work with AWS ecosystem for data ingestion and processing
Collaborate with cross-functional teams to deliver robust data solutions
Ensure performance, scalability, and reliability of data systems

Must-Have Skills:
5+ years of experience in Data Engineering
Strong experience with Apache Flink OR Spark Streaming 
Hands-on experience with Apache Kafka
Strong programming skills in Java (JVM-based)
Experience with AWS (S3, Glue, Lambda, etc.)
Expertise in Apache Airflow for workflow orchestration

Good to Have:
Experience with Docker & Kubernetes
Exposure to DBT / Snowflake / Databricks
Knowledge of CI/CD (Jenkins, Git)
Experience with Infrastructure as Code (Terraform, Helm)
Location: Pune (Hybrid/Onsite)
Experience: 5–10 Years
Notice Period: Immediate to 30 Days preferred
Important: Candidates with hands-on experience in Kafka and Spark/Flink Streaming will be prioritized.