

Data Engineer - Supply Chain - Associate - (Remote)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer - Supply Chain (Remote) on a contract basis, requiring expertise in Databricks, Azure Data Factory, and ETL processes. Key skills include Python, SQL, and strong knowledge of data privacy regulations.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
July 23, 2025
π - Project duration
Unknown
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ποΈ - Location type
Unknown
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
United States
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π§ - Skills detailed
#Agile #Databricks #Big Data #Kafka (Apache Kafka) #MySQL #PySpark #Security #DevOps #ADF (Azure Data Factory) #Data Integration #Data Engineering #GitLab #Scrum #Informatica #Cloud #Python #Azure DevOps #Spark (Apache Spark) #Azure #Data Privacy #"ETL (Extract #Transform #Load)" #Apache Spark #SSIS (SQL Server Integration Services) #SQL Server #Consulting #Azure Data Factory #Databases #Project Management #Oracle #SQL (Structured Query Language) #GDPR (General Data Protection Regulation) #Programming #Jenkins #Compliance #Data Processing #ML (Machine Learning)
Role description
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Job Summary:
Capgemini is a leading provider of Staffing and Consulting Services, and they are seeking a Data Engineer specializing in Supply Chain for a contract position. The role involves data integration, cloud management, and collaboration within an offshore team to ensure efficient data processing and compliance with security standards.
Responsibilities:
β’ Offshore team members should be proficient in data integration and ETL (extract, transform, load) processes, connecting to various data sources and transforming data for analytics or machine learning purposes.
β’ Azure Data Factory is a must.
β’ Databricks
β’ Meet deadlines provided by scrum master/project lead.
β’ The team should have a solid understanding of security best practices, data privacy regulations (such as GDPR or CCPA), and compliance requirements for handling sensitive data.
β’ The offshore team must have strong communication and collaboration skills to effectively work with the on-premises team, understand requirements, and provide timely support.
β’ Experience with project management methodologies, such as Agile or Scrum to ensure on time and within scope.
β’ Familiarity with CI/CD tools and practices (such as Jenkins, GitLab, or Azure DevOps) can help the team automate processes and ensure the reliability of their solutions.
Qualifications:
Required:
β’ Databricks
β’ PySpark
β’ Python
β’ Azure DevOps
β’ SQL
β’ PL/SQL
β’ Informatica
β’ SSIS
β’ Azure Data Factory
β’ Informatica ETL
β’ Kafka
β’ Supply Chain data knowledge
β’ Strong understanding of cloud platforms (such as Azure)
β’ Experience with Databricks for data engineering and data analytics
β’ Strong data engineering skills, including working with big data technologies like Apache Spark
β’ Proficient in data integration and ETL (extract, transform, load) processes
β’ Proficiency in programming languages such as SQL, PL/SQL, T-SQL, Python, Shell programming
β’ Experience with various database technologies, both on-premises and in the cloud
β’ Experience with relational databases (e.g., SQL Server, Oracle, MySQL, PostGres)
β’ Experience with Databricks Lakehouse
β’ Strong understanding of security best practices, data privacy regulations (such as GDPR or CCPA), and compliance requirements
β’ Strong communication and collaboration skills
β’ Experience with project management methodologies, such as Agile or Scrum
β’ Familiarity with CI/CD tools and practices (such as Jenkins, GitLab, or Azure DevOps)
Company:
Capgemini is a software company that provides consulting, technology, and digital transformation services. Founded in 1967, the company is headquartered in Paris, Ile-de-France, FRA, with a team of 10001+ employees. The company is currently Public Company. Capgemini has a track record of offering H1B sponsorships.