Data Integration Specialist

1 day ago


Lincoln, Nebraska, United States Novalink Solutions Full time
Job Description

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
Requirements:
  • 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
Preferred Qualifications:
  • 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
Knowledge and Abilities:
  • 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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