Senior ETL Informatica Developer
1 week ago
Job Title: Senior ETL Informatica Developer
Job Summary:
This is a remote position that requires a skilled Senior ETL Informatica Developer with extensive experience in the banking industry. The candidate should have strong expertise in ETL development using Informatica along with a solid background in PLSQL and Oracle databases to play a critical role in designing, developing, and maintaining data integration solutions to support our business operations and analytics.
Key Responsibilities:
- Design, develop, and optimize ETL processes using Informatica PowerCenter to extract, transform, and load data from various sources into target systems.
- Collaborate with business analysts, data architects, and other business stakeholders to understand data requirements and ensure seamless data integration across multiple banking systems.
- Write, optimize, and maintain complex PLSQL scripts and stored procedures for data processing, transformation, and reporting.
- Manage, monitor, and tune Oracle databases to ensure high availability, performance, and security of data.
- Optimize ETL processes and SQL queries for better performance, scalability, and reliability.
- Create and maintain comprehensive documentation for ETL processes, data flows, and technical specifications.
- Work closely with cross-functional teams, including analysts and business units, to deliver data-driven insights and solutions.
- Identify and resolve data integration issues, troubleshoot system errors, and provide ongoing support for production environments.
Qualifications:
Education: Bachelor's degree.
Experience: Minimum of 7 years of experience in ETL development using Informatica PowerCenter with a focus on the banking/financial services industry.
Technical Skills: Proficient in Informatica PowerCenter, including mapping design, workflow management, and performance tuning. Strong experience with Oracle databases, including data modeling, SQL, and PLSQL development. Familiarity with data warehousing concepts, data modeling, and data lakes.
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