Data Engineer

Job Description

Minimum of 4 -9 years of experience in ETL development using IICS-CDI (Cloud Data Integration), including experience with IICS Cloud Console and PowerCenter Designer Design, develop and implement ETL solutions using IICS - CDI to extract, transform and load data from various sources into data warehouse Strong understanding of data warehousing concepts, ETL frameworks, and best practices Solid experience with SQL and database technologies such as SQL Server, Oracle etc. (Preferably Azure Synapse) Should be Familiar with data modeling and data integration techniques Be able to Work with cross-functional teams to understand business requirements and translate them into technical specifications for ETL development Develop and maintain ETL mappings, workflows, and schedules using IICS - CDI Ensure data quality, integrity, and consistency by performing data validation, cleansing, and enrichment activities Monitor ETL jobs to ensure successful completion, identify and resolve errors and performance issues Nice to have - Experience with Informatica Cloud Secure Agents Familiarity with cloud technologies such as Azure, AWS or Google Cloud Platform Experience with scripting languages such as Python or Shell scripting Excellent analytical and problem-solving skills, with a keen attention to detail Ability to work independently and in a team-oriented, collaborative environment Strong communication and interpersonal skills Familiarity with Agile development methodologies Preferred Certifications: Informatica Cloud Data and Application Integration R38, Professional Certification AZ-900: Microsoft Azure Fundamentals DP-900: Microsoft Azure Data Fundamentals DP-203: Data Engineering on Microsoft Azure