Lorven Technologies Inc.

EDM Developer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an IHS Markit EDM Developer in Fortmill, SC, with a contract length of unspecified duration and a pay rate of "unknown." Key skills include IHS Markit EDM, MDM, AWS, and Kafka, requiring 5+ years of relevant experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
June 20, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Fort Mill, SC
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🧠 - Skills detailed
#SQS (Simple Queue Service) #Data Lineage #"ETL (Extract #Transform #Load)" #Spark (Apache Spark) #PySpark #SNS (Simple Notification Service) #PostgreSQL #Kafka (Apache Kafka) #Data Governance #Computer Science #Kubernetes #Databricks #Data Management #Aurora #Spark SQL #Microservices #AWS (Amazon Web Services) #GIT #SQL Server #Data Stewardship #REST (Representational State Transfer) #Terraform #SQL (Structured Query Language) #Apache Kafka #Docker #REST API #RDS (Amazon Relational Database Service) #Lambda (AWS Lambda) #S3 (Amazon Simple Storage Service) #MDM (Master Data Management) #Monitoring #Python #Data Quality #Snowflake #Oracle #Data Processing
Role description
HI Our client is looking for a IHS Markit EDM Developer in Fortmill SC. Below is the detailed requirement. Job positing Title: IHS Markit EDM Developer Location: Fortmill SC Required Skills: IHS Markit EDM (CADIS), MDM, AWS and Kafka Job description: β€’ Bachelor’s degree in computer science, Information Technology, or a related field β€’ 5+ years of hands-on experience with IHS Markit EDM (CADIS) development and Master Data Management (MDM) solutions. β€’ Strong expertise in Core Matchers, Entity Resolution, Survivorship Rules, and Golden Record creation. β€’ Experience developing Data Constructors, Data Porters, Data Flows, and Rules Engines within Markit EDM. β€’ Hands-on experience with Workflow UI development, including WF Pages, WF Elements, and Data Stewardship workflows. β€’ Strong knowledge of Data Governance, Data Quality, Data Lineage, and Master Data Management best practices. β€’ Experience with Apache Kafka/Confluent Kafka and event-driven architectures for real-time data processing. β€’ Hands-on experience with AWS services such as Glue, Lambda, S3, RDS/Aurora, SNS, and SQS. β€’ Proficiency in Python, PySpark, Spark SQL, and large-scale data transformation and integration pipelines. β€’ Strong experience with REST APIs, Microservices, SQL Server, Oracle, PostgreSQL, Snowflake, and Databricks. β€’ Experience with CI/CD, Git, Terraform, Docker, Kubernetes, monitoring tools, and leading technical delivery within Financial Services environments.