Description

You will build and manage data infrastructure supporting large-scale data operations.

Responsibilities

• Design, build, and maintain data pipelines across on-prem Hadoop and AWS.
• Develop and maintain Java applications, utilities, and data processing libraries.
• Manage and enhance internal Java libraries for ingestion, validation, and transformation.
• Develop and maintain Airflow DAGs for orchestration and scheduling.
• Build and optimize Spark / PySpark jobs for large-scale data processing.

Required Skills

• 5+ years of professional experience in data engineering.
• Expertise in Java development and build tools like Gradle.
• Strong proficiency with AWS services (S3, Glue, EMR, Athena, EKS basics).
• Experience with Hadoop/HDFS, Hive, and SQL.
• Proficiency in Apache Kafka for streaming ingestion.
• Hands-on experience with Apache Spark / PySpark for batch and streaming processing.
• Experience developing and maintaining Apache Airflow DAGs.
• Familiarity with Git and CI/CD workflows.
• Knowledge of observability tools such as Prometheus/Grafana.

Key Skills

Education

Bachelor's degree