Description

You will build and optimize scalable data pipelines and architectures within cloud ecosystems.

This role is hybrid.

Responsibilities

• Design and maintain scalable data pipelines using Airflow, NiFi, and Databricks to automate ingestion and transformation.
• Implement real-time data streaming and event-driven architectures leveraging Kafka and Flink.
• Develop and optimize data storage solutions using Hadoop and S3 for performance and scalability.
• Manage ETL/ELT processes and orchestrate complex workflows across hybrid and multi-cloud environments.
• Ensure data quality, governance, and security through monitoring frameworks.

Required Skills

• 7+ years of experience in data engineering, focused on pipeline design and orchestration.
• Expertise in Kafka, Airflow, NiFi, Databricks, Spark, Hadoop, Flink, and S3.
• Proficiency in Python, Scala, or Java for data transformation.
• Strong SQL skills and familiarity with relational and NoSQL data stores.
• Experience with On-Prem and Kubernetes based Data Engineering.
• Familiarity with data modeling, data governance, and data quality frameworks.
• Experience operating in a multi-cloud or hybrid data environment.

Preferred Skills

• Any Graduate

Key Skills

Education

Any Graduate