Abinitio Developer

Mphasis
Wilmington, United States of America
6 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Wilmington, United States of America

Tech stack

API
Unit Testing
Batch Processing
Big Data
Databases
Data Governance
Data Integration
ETL
Data Transformation
Data Warehousing
Relational Databases
Integrated Development Environments
Metadata
Performance Tuning
Raw Data
Shell Script
Enterprise Data Management
Data Processing
Scripting (Bash/Python/Go/Ruby)
Rollup
Parallel Computation
Ab Initio

Job description

An Ab Initio Developer designs and builds complex enterprise data processing (ETL) and business intelligence applications. They are responsible for extracting, transforming, and loading large volumes of data while optimizing performance, maintaining data governance, and collaborating with cross-functional teams to meet business requirements., * ETL Pipeline Development: Design, develop, and test scalable data integration pipelines using Ab Initio s graphical development environment.

  • Data Transformation: Cleanse, manipulate, and enrich raw data from disparate sources (files, databases, APIs) into structured formats for analytics.
  • Performance Tuning: Optimize graphs and optimize parallel processing configurations for high-speed, high-volume data handling.
  • Testing & Debugging: Conduct unit testing, troubleshoot job failures, and resolve data quality or performance bottlenecks.
  • Maintenance & Support: Manage metadata, schedule batch jobs, and monitor the overall stability of the enterprise data platform.

Requirements

  • Technical: Strong hands-on experience with Ab Initio components (e.g., Join, Rollup, Sort, Scan, Partition by key).
  • Database & SQL: Advanced SQL querying, relational database management (RDBMs), and handling large datasets.
  • Scripting: Proficiency in Unix/Linux shell scripting to automate batch processing.
  • Concepts: Deep understanding of Data Warehousing, Data Modeling, and ETL architectures.

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