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Salary
≈ $21k – $45k per year (Estimated)
Location
In office (Bengaluru, Kolkata, Chennai)
Experience
8+ years exp

First seen by Alion on Oct 7, 2026.

Overview
Company
Impact
Profile match
Nasu Group is a technology services company that powers enterprise transformation through AI. Its job ads seek Snowflake solution architects, data governance analysts, AI and machine learning architects, agent validation engineers and SAP consultants. The company is headquartered in Bengaluru, India.

About the role :

You will design, build and maintain ETL data pipelines using Ab Initio to move and transform large volumes of data for reporting and analytics.

What you will do :

- Design, develop and maintain ETL graphs and plans using Ab Initio

- Extract data from multiple sources, transform it and load it into target systems

- Use Ab Initio components, parallelism and partitioning for high-volume processing

- Tune graphs and troubleshoot performance issues

- Schedule and monitor batch jobs, and fix failures

- Write SQL and Unix shell scripts to support data processing and validation

- Work with data architects, testers and business teams to meet data requirements

- Document designs and support production releases

What you need :

- 8+ years of experience in ETL development, with strong hands-on Ab Initio experience

- Strong knowledge of Ab Initio GDE, Co>Operating System, EME and Conduct>It

- Strong SQL skills with databases such as Oracle, Teradata or SQL Server

- Good Unix/Linux shell scripting skills

- Understanding of data warehousing, data modelling and ETL/ELT concepts

- Experience with batch scheduling tools such as Control-M or Autosys

- Strong analytical and troubleshooting skills

Nice to have :

- Experience with Ab Initio Metadata Hub, Express>It or BRE

- Experience with Hadoop, Hive or cloud platforms (AWS, Azure)

- Knowledge of data quality and data governance practices

- Experience working in Agile teams

Skills

Data Engineering, ETL, SQL, Unix, Abinitio, Data Pipeline, Data Warehousing, SQL Server, Metadata, Reporting Analytics

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