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Ab Initio Developer

Mount Talent Consulting
Posted on
Mount Talent Consulting logo
Experience
5 - 10 yrs
Job Location
Pune, India
Vacancy
1
Designation
Abinitio Developer
Job Type
ONSITE

Job Description

Job Summary:
  • We are seeking a highly skilled Ab Initio Developer to join our data engineering team.
  • In this role, you will be responsible for designing, developing, and maintaining complex ETL solutions using the Ab Initio platform.
  • You will work with large datasets to build and optimize data pipelines, supporting our business intelligence and analytics initiatives.
  • This is a crucial role for a data professional who is passionate about building high-performance and scalable data solutions.

    Key Responsibilities :
  • - Design, develop, and maintain ETL processes using the Ab Initio platform.
  • - Build and optimize Ab Initio graphs for data extraction, transformation, and loading.
  • - Collaborate with data analysts and business stakeholders to define data requirements.
  • - Troubleshoot and resolve performance issues in data pipelines.
  • - Ensure data quality and integrity throughout the ETL process.
  • - Maintain and improve existing ETL solutions.

    Required Qualifications:
  • - Bachelor's degree in Computer Science, Information Systems, or a related field.
  • - 4+ years of experience in Ab Initio development.
  • - Deep expertise in the Ab Initio platform, including GDE, Conduct>It, and EME.
  • - Strong experience with SQL and database technologies (Oracle, DB2, SQL Server).
  • - Understanding of data warehousing and data modeling concepts.

    Preferred Qualifications:
  • - Experience with Ab Initio Express>It.
  • - Experience with big data technologies (Hadoop, Spark).
  • - Experience with integration to other data tools.

    Key Competencies:
  • - Data Expertise: Strong understanding of data engineering and ETL best practices.
  • - Analytical Skills: Ability to analyze complex data requirements and build effective solutions.
  • - Problem-Solving: Skilled in troubleshooting and optimizing data pipelines.
  • - Collaboration: Works effectively with cross-functional teams.