HYR Global Source Inc
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Design, develop, and maintain scalable data pipelines using Azure and Snowflake
Build and manage data ingestion and integration workflows (REST, SOAP, SFTP, MQ, etc.)
Write optimized, high-performance scripts in SQL and Python (or Scala)
Participate in architecture design, logical/physical data modeling, and solution discussions
Implement CI/CD pipelines and best practices in Azure for data systems
Handle complex data integration issues, unstructured datasets, and data quality concerns
Collaborate closely with product owners, data scientists, and architects in an Agile environment
Manage source control, versioning, and deployment across environments
Support the internal data integration framework and resolve source data discrepancies
Position :: Senior Data Engineer
Location: Columbus, OH
Position Type: Fulltime
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure and Snowflake Build and manage data ingestion and integration workflows (REST, SOAP, SFTP, MQ, etc.) Write optimized, high-performance scripts in SQL and Python (or Scala) Participate in architecture design, logical/physical data modeling, and solution discussions Implement CI/CD pipelines and best practices in Azure for data systems Handle complex data integration issues, unstructured datasets, and data quality concerns Collaborate closely with product owners, data scientists, and architects in an Agile environment Manage source control, versioning, and deployment across environments Support the internal data integration framework and resolve source data discrepancies
Must-Have Qualifications
5–8 years of experience as a Data Engineer or similar role Strong, hands-on experience with Snowflake (MUST) Hands-on experience with Azure Data Factory v2 (MUST) Expertise in Microsoft Stack – SQL Server, SSIS, etc. Solid experience with Azure services: Databricks, SQL DW, Analysis Services, Cosmos DB Strong programming skills in Python or Scala Experience with data lake/warehouse implementation on Azure (or other clouds) Proven experience working in an Agile software development environment Strong analytical and problem-solving skills Excellent verbal and written communication High level of motivation, attention to detail, and ability to handle multiple projects
Preferred
Experience with DB2 is a plus Prior experience working as an Apex contractor Experience with financial or confidential data handling
Important Notes
This is a backfill – the client is looking for a strong performer to replace a current underperforming candidate NO Big Data profiles – this is a true Data Engineering role focused on Snowflake and ADF Candidate must be onsite 4 days per week in Columbus, OH – no exceptions
Follow us on LinkedIn - https://www.linkedin.com/company/hyr-global-source-inc
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at HYR Global Source Inc by 2x Sign in to set job alerts for “Senior Data Engineer” roles.
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Position :: Senior Data Engineer
Location: Columbus, OH
Position Type: Fulltime
Key Responsibilities
Design, develop, and maintain scalable data pipelines using Azure and Snowflake Build and manage data ingestion and integration workflows (REST, SOAP, SFTP, MQ, etc.) Write optimized, high-performance scripts in SQL and Python (or Scala) Participate in architecture design, logical/physical data modeling, and solution discussions Implement CI/CD pipelines and best practices in Azure for data systems Handle complex data integration issues, unstructured datasets, and data quality concerns Collaborate closely with product owners, data scientists, and architects in an Agile environment Manage source control, versioning, and deployment across environments Support the internal data integration framework and resolve source data discrepancies
Must-Have Qualifications
5–8 years of experience as a Data Engineer or similar role Strong, hands-on experience with Snowflake (MUST) Hands-on experience with Azure Data Factory v2 (MUST) Expertise in Microsoft Stack – SQL Server, SSIS, etc. Solid experience with Azure services: Databricks, SQL DW, Analysis Services, Cosmos DB Strong programming skills in Python or Scala Experience with data lake/warehouse implementation on Azure (or other clouds) Proven experience working in an Agile software development environment Strong analytical and problem-solving skills Excellent verbal and written communication High level of motivation, attention to detail, and ability to handle multiple projects
Preferred
Experience with DB2 is a plus Prior experience working as an Apex contractor Experience with financial or confidential data handling
Important Notes
This is a backfill – the client is looking for a strong performer to replace a current underperforming candidate NO Big Data profiles – this is a true Data Engineering role focused on Snowflake and ADF Candidate must be onsite 4 days per week in Columbus, OH – no exceptions
Follow us on LinkedIn - https://www.linkedin.com/company/hyr-global-source-inc
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at HYR Global Source Inc by 2x Sign in to set job alerts for “Senior Data Engineer” roles.
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