RandomTrees | Ab Initio Developer | india
16 hours ago
Immediate #HIRING for a highly motivated and experienced Abinitio Developer to join our growing team.
We’re a leading software company specializing in Artificial Intelligence, Machine Learning, Data Analytics, Innovative data solutions, Cloud-based technologies.
If you're passionate about building robust applications and thrive in a dynamic environment, please share your resume at
About the Role:
Experience: Min 5+Yrs (Mandatory) to 8Yrs
Location: Anywhere in India
Work Mode: Hybrid
Notice Period: Immediate or Max 1 Week
Employment Type: Full-Time
Note : Total Exp: 5+Years
Rel Exp: 5+Years Mandatory
Job Description:
ETL Development : Lead the design, development, and optimization of ETL processes using Ab Initio's Graphical Development Environment (GDE), ensuring data accuracy, consistency, and availability.
Data Integration: Build, maintain, and optimize data integration workflows, enabling seamless data flow across various systems and platforms.
Data Transformation: Design and implement intricate data transformations, data cleansing, and data enrichment logic within Ab Initio graphs.
Metadata Management: Utilize Ab Initio's metadata capabilities to document data lineage, transformations, and data definitions, ensuring transparency and compliance.
Performance Optimization: Monitor and optimize Ab Initio ETL processes for efficiency, scalability, and performance, addressing and resolving bottlenecks as needed.
Error Handling: Develop robust error handling and logging mechanisms to track and manage ETL job failures and exceptions. Collaboration: Collaborate with cross-functional teams, including data engineers, data analysts, data scientists, and business stakeholders, to understand requirements and ensure the successful delivery of data integration projects.
Version Control: Use version control systems (e.g., Git) to manage Ab Initio code and collaborate effectively with team members. Documentation: Create and maintain comprehensive documentation of Ab Initio graphs, data integration processes, best practices, and standards for the team.
Troubleshooting and Support: Investigate and resolve complex ETL-related issues, provide support to team members and users, and conduct root cause analysis when problems arise.
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