A complete application in a minute — tailored resume and cover letter, ready to send.
Siri InfoSolutions Inc. in Charlotte, NC seeks an experienced Informatica IDMC Developer to lead data integration and IDMC migration initiatives. You will design and implement ETL processes, ensure data quality, and work with cross-functional teams to deliver reliable data services.
Requirements include 10+ years of experience, expertise in Oracle and Hadoop ecosystems, strong SQL/PLSQL skills, and exposure to scheduling tools like Autosys.
Job Description
Must Have Technical/Functional Skills
Primary Skill: Informatica IDMC Developer
Secondary: Oracle, Hadoop
Experience: Minimum 10 years
Roles & Responsibilities
Bachelor's or master's degree in computer science or related field.
Minimum 2 years experience in IDMC migration projects.
ETL Process Development: Design, develop, and maintain ETL processes using Informatica PowerCenter or other relevant Informatica tools.
Experience in Agile Methodology
Experience with code versioning tools like Bit-Bucket
SQL Proficiency: Utilize SQL/PLSQL to extract, transform, and load data.
Exposure to advanced transformations like data transformations, Parsing JSON/XML messages
Experience in Job scheduling tools Like Autosys
Experience with HDFS, MapReduce, and Hadoop ecosystems.
Understanding data storage and data processing techniques in Hadoop
Data Integration: Integrate data from various sources, ensuring data consistency and quality.
Data Warehouse Design: Design and maintain data warehouses to support business intelligence activities.
Performance Optimization: Optimize SQL script/queries for speed and efficiency.
Troubleshooting: Identify and resolve issues in ETL processes.
Documentation: Create and maintain technical documentation for ETL processes.
Testing: Perform unit, integration, and system testing on ETL processes.
Collaboration: Collaborate with cross-functional teams to ensure successful implementation of ETL processes.
Data Quality: Ensure data quality by implementing data cleansing and transformation processes.
Data Modeling: Develop and maintain relational and dimensional data models.