Developer – Data Engineering & Cloud Analytics

Developer – Data Engineering & Cloud Analytics

Role Overview :

Responsible for building, maintaining, and optimizing large-scale data pipelines and analytics solutions leveraging Snowflake, Kafka, Splunk, Airflow, AWS, Apache Iceberg, and Presto. The candidate will bring hands-on development skills and collaborate with architects, analysts, and DevOps teams to deliver reliable, efficient, and scalable data services.

Key Responsibilities

• Develop and maintain ETL / ELT pipelines using Airflow, orchestrating data movement across Snowflake, AWS, Iceberg, and Kafka systems.
• Implement and optimize real-time data ingestion and streaming solutions using Apache Kafka, ensuring high throughput and fault tolerance.
• Integrate Apache Iceberg and Presto for interactive analytics on large-scale data lakes.
• Write SQL, Python, and / or Scala code for complex data transformations, metric calculations, and business logic deployment.
• Collaborate with data architects to evolve data models and ensure alignment with enterprise best practices.
• Utilize Splunk for operational monitoring, log analysis, and incident troubleshooting within data workflows.
• Deploy and manage infrastructure on AWS (S3, EC2, Glue, Lambda, IAM), focusing on automation, scalability, and security.
• Document pipelines, produce clear runbooks, and share technical knowledge with team members.

Required Skills & Experience

Preferred Qualifications

This role is ideal for candidates who enjoy end-to-end work on cloud-native analytics platforms, working with cutting-edge data streaming and lakehouse technologies in production environments.