Senior Data Engineer
Senior Data Engineer
Posted on :
14-11-2024
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1 Vacancy
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Job Description
Job Title: Senior Data Engineer
Location: Charlotte NC (FullOnsite)
Duration: 6 Months (With Possible Extension)
Rate: DOE C2C All Inclusive
New Capgemini Onboarding Process Updates:
Due to additional onboarding requirements a meet and greet is required for all new hires.
Selected candidates must be willing to go to the closest Capgemini/Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment.
If the candidate is not local Capgemini will pay the expenses.
Job Description:
We are seeking a Senior Data Engineer with extensive experience in Data Integration Analytical Skills and Data Management.
The ideal candidate will have a strong background in Spark Python Scala and Unix along with handson development experience.
Exposure to object storage as well as a good understanding of Data Governance Lineage and Metadata Management is essential.
Familiarity with GL Finance and Regulatory Reporting will be considered a significant plus.
Key Responsibilities:
Design and develop data integration workflows using PySpark.
Optimize data processes in SQL Server and manage database performance.
Utilize Autosys for job scheduling and monitoring.
Collaborate with crossfunctional teams to implement data governance and lineage solutions.
Develop and maintain stored procedures and perform ETL operations.
Leverage Spark and object storage technologies for big data solutions.
Ensure compliance with regulatory reporting requirements.
Qualifications:
Bachelors degree in computer science Information Technology or a related field.
12 years of experience in data engineering with a focus on Spark Python and Scala.
Strong knowledge of Unix/Linux operating systems.
Proficiency in developing stored procedures and ETL processes.
Understanding of data governance frameworks and metadata management.
Familiarity with GL finance and regulatory reporting is a plus.
Excellent problemsolving and communication skills.
Location: Charlotte NC (FullOnsite)
Duration: 6 Months (With Possible Extension)
Rate: DOE C2C All Inclusive
New Capgemini Onboarding Process Updates:
Due to additional onboarding requirements a meet and greet is required for all new hires.
Selected candidates must be willing to go to the closest Capgemini/Client office location as indicated by the project team to meet and greet with a Capgemini team member prior to starting their assignment.
If the candidate is not local Capgemini will pay the expenses.
Job Description:
We are seeking a Senior Data Engineer with extensive experience in Data Integration Analytical Skills and Data Management.
The ideal candidate will have a strong background in Spark Python Scala and Unix along with handson development experience.
Exposure to object storage as well as a good understanding of Data Governance Lineage and Metadata Management is essential.
Familiarity with GL Finance and Regulatory Reporting will be considered a significant plus.
Key Responsibilities:
Design and develop data integration workflows using PySpark.
Optimize data processes in SQL Server and manage database performance.
Utilize Autosys for job scheduling and monitoring.
Collaborate with crossfunctional teams to implement data governance and lineage solutions.
Develop and maintain stored procedures and perform ETL operations.
Leverage Spark and object storage technologies for big data solutions.
Ensure compliance with regulatory reporting requirements.
Qualifications:
Bachelors degree in computer science Information Technology or a related field.
12 years of experience in data engineering with a focus on Spark Python and Scala.
Strong knowledge of Unix/Linux operating systems.
Proficiency in developing stored procedures and ETL processes.
Understanding of data governance frameworks and metadata management.
Familiarity with GL finance and regulatory reporting is a plus.
Excellent problemsolving and communication skills.
Please send your resumes to:
Employment Type
Full Time
Key Skills
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