Data Integration Specialist
1 day ago
As a highly skilled ETL Developer Expert, you will play a crucial role in developing and implementing ETL processes from various data sources. Your expertise will be utilized to build high-level conceptual models, logical models, and production of high-quality documentation. You will participate in requirements gathering, collecting data definitions, source to target mapping, and defining and implementing data transformation, quality checking, cleansing, and standardization processes.
Key Responsibilities:- Develop and implement ETL processes from various data sources
- Build high-level conceptual models and logical models
- Produce high-quality documentation
- Participate in requirements gathering and data definition
- Define and implement data transformation, quality checking, cleansing, and standardization processes
- Test ETL processes for accuracy and performance
- Bachelor's degree in computer science or a related field
- Minimum of five years of experience in ETL development
- Extensive experience in data migration projects utilizing ETL/ELT tools
- Strong expertise in database modeling techniques
- Proven track record in application database re-engineering, redesign, and data migration from legacy databases
- Experience with MuleSoft, Qlik, Talend, DataStage, AWS Glue, AWS Data Pipeline, and Azure Data Factory
- Hands-on experience with database programming, Azure DevOps, Azure SQL, SQL performance tuning, data modeling, and ETL job scheduling
- Successful execution of data warehousing projects across various platforms
- Advanced SQL skills, including query tuning
- Experience in data quality identification
- Experience in creating ETL jobs using DataStage, Qlik, Talend, or MuleSoft
- Ad-hoc analysis of data in all forms (structured, unstructured, and semi-structured)
- Design, implementation, and troubleshooting of production Data Platform environments
- Design, build, and implement effective ETL/ELT jobs
- Stored procedure implementation and database querying
- Bug and bottleneck identification and testing
- Performance and quality optimization of ETL packages
- API development and data sharing/consuming
- Data infrastructure knowledge, both on-premise and in the cloud
- DevOps, Continuous Integration, and Continuous Delivery experience
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