Datastage Developer with ADF || Raleigh, NC/Charlotte, NC – Hybrid Position Available In Wake, North Carolina

Tallo's Job Summary: Datastage Developer with ADF role in Raleigh, NC/Charlotte, NC - Hybrid. Contract to Hire/Fulltime position requiring 6+ years of data engineering experience, 2+ years in a technical lead role. Must have hands-on experience with Azure Data Factory, Azure SQL Database, DataStage, and Azure cloud services. Proficiency in Python and SQL is essential.

Company:
Unclassified
Salary:
JobFull-timeOnsite

Job Description

Datastage Developer with ADF || Raleigh, NC/Charlotte, NC – Hybrid

Position:

Datastage Developer with ADF Exp.

Location:

Birmingham, AL/Memphis, TN/Raleigh, NC/Charlotte, NC – Hybrid

Hire Type:

Contract to Hire(C2H)/

Fulltime Job Description:

6+ years of experience in data engineering and minimum 2+ years as technical lead role.
3+ years of hands-on experience with Azure Data Factory, Azure SQL Database, and other Azure data services.
Experience in DataStage and migrating of ETL from DataStage to ADF
Proven experience with Azure cloud services, including Azure Data Lake, Azure Synapse Analytics, Azure Data Factory, and Azure DevOps.
Develop and maintain ETL pipelines to extract transform and load data from various sources into Databricks.
Implement Azure data engineering best practices including data quality checks data lineage and data governance within the Databricks environment.
Leverage Azure DevOps and CI CD best practices to automate the deployment and management of data pipelines and infrastructure.
Proficient in programming languages such as Python, SQL
Experience with SQL and NoSQL databases, particularly within Azure.
Familiarity with data warehousing concepts and tools (e.g., Azure Synapse Analytics).
Knowledge of Azure data governance, security, and compliance best practices.
Deep understanding of Azure Cloud Platform and Engineering Infrastructure setup and configuration tools and services Data access and sharing and Hands on work.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

91166229

Position Id:

8636715

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