Junior Abinitio Engineer

A Leading Technology Services Firm is seeking a detail-oriented Junior Abinitio Engineer to join its data engineering practice in Bengaluru. In this key technical role, you will focus on building, maintaining, and modernizing large-scale ETL data pipelines. Furthermore, you will support strategic cloud migration initiatives, transitioning legacy processing flows into cloud-native architectures. Consequently, this position is vital for ensuring reliable data processing, system efficiency, and modern analytics capabilities across enterprise platforms.

The Junior Abinitio Engineer must combine hands-on Abinitio processing experience with solid Unix/Linux command-line capabilities. Working in collaboration with product, platform, and operations teams, you will assist in developing PySpark scripts, AWS Glue flows, and REST API services within cloud environments. Therefore, the organization is looking for an analytical problem-solver who operates flexibly across shift schedules and rotational weekend support blocks. If you want to build a rewarding career in cloud data modernization, this role is for you.

Key Responsibilities

• Construct, optimize, and maintain enterprise ETL pipelines with hands-on development in Abinitio.
• Analyze technical issues, interpret complex business data flows, and provide actionable design inputs for ETL processes.
• Support cloud modernization initiatives by building scalable ETL flows using PySpark and AWS Glue.
• Contribute to the development of RESTful APIs and event-driven microservices across cloud computing platforms.
• Execute Unix/Linux commands for script execution, file management, system monitoring, and troubleshooting.
• Participate in integration testing, pipeline debugging, CI/CD deployments, and operational production support.
• Collaborate with cross-functional product, platform, and operations teams to ensure reliable data pipeline delivery.
• Work in shift schedules and provide rotational weekend support to maintain continuous system health.

Requirements and Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Information Technology, or a related quantitative discipline.
• 4-6 Years of core experience operating as an ETL Engineer, Data Developer, or Abinitio Specialist.
• Strong hands-on experience handling Abinitio platforms, large data pipelines, and Unix/Linux operations.
• Demonstrated technical familiarity with cloud platforms (AWS, Azure, or GCP) and cloud data tooling (PySpark, AWS Glue).
• Beneficial exposure to containers (Docker/Kubernetes), microservices, API development, and CI/CD pipelines.