Immediate Role || Junior Data Engineer || Contract

[Srijal]

Hi

Hope you are doing great !!!                           
My name is Srijal and I am working as a Technical Recruiter at TekisHub Consulting Services, is a national recruiting company which partners with many of the leading employers in the Life Sciences, IT, and Financial Services sectors. One of our Client has a current opening at a competitive rate, for a multiple DEMAND professional to add to their team.
I wanted to reach out to you today about the below position

Role:  Junior Data Engineer

Location : New York City NY, Jersey City NJ, Tempa FL, Dallas, TX (Onsite)

Type: Contract

Job Details:

Job Description:
We are looking for a motivated Junior Data Engineer to join our growing data team. You will work closely with senior engineers, data analysts, and business stakeholders to build and maintain data pipelines, manage data infrastructure, and support data-driven decision-making across the organization.

Key Responsibilities:

Key Responsibilities:

• Design and implement data ingestion pipelines in Azure Databricks for structured and unstructured data sources.
• Develop and optimize ETL/ELT processes using Databricks, PySpark, and SQL.
• Write scalable, maintainable, and efficient code in Databricks notebooks for data transformation and analytics.
• Integrate Databricks with other Azure services (Azure Data Lake, Azure Synapse, Azure Data Factory, Event Hubs, etc.).
• Collaborate with data architects, analysts, and business stakeholders to deliver high-quality data solutions.
• Implement best practices for performance tuning, scalability, and security in Azure Databricks.
• Monitor and troubleshoot data pipelines to ensure data quality and reliability.

 

Required Skills & Experience:

• 5+ years of overall IT experience with a strong focus on data engineering.
• 3+ years of hands-on experience with Azure Databricks.
• Strong coding skills in PySpark, Python, and SQL.
• Experience with data ingestion techniques (batch and streaming) in Databricks.
• Strong understanding of Azure Data Lake Storage, Azure Data Factory, and Azure Synapse Analytics.
• Experience in Delta Lake and data Lakehouse architecture.
• Solid understanding of data modeling, schema design, and ETL best practices.
• Knowledge of CI/CD pipelines for Databricks deployments.
• Strong problem-solving and debugging skills.

 

Thanks and regards,
Srijal Srivastava
US IT Recruiter
Srij...@Tekishub.com
tekishub.com/
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