Azure Databrick Engineer - Hybrid NYC

job summary:

JOB DESCRIPTION

1.Azure Platform Experience:

The candidate should have hands-on experience with various Azure services including but not limited to

Azure Data Factory, Databricks, Data Lake, and Power BI.

They should be able to design, build, and maintain ETL pipelines, manage data lakes,

and create insightful reports and visualizations.

Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus.

SQL skill is a must to have And .NET C# skills will be a great plus.

2.Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services. Develop ETL processes, optimize data pipelines, and ensure data quality and security. Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.

3.Security on Azure Platform:

The candidate should have a strong understanding of security protocols within the Azure platform.

This includes knowledge of identity and access management, network security,

encryption methods, secure data communication, and securing serverless architectures.

4.Data Governance:

The candidate should have experience in implementing data governance strategies.

This includes setting up data governance frameworks, defining data ownership,

ensuring data quality, and implementing data privacy and compliance measures.

Knowledge of data cataloging, data lineage, and metadata management is also important.

5.Certifications: Azure certifications such as Azure Security Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Databricks Certified Data Engineer Associate is required. Databricks Machine Learning Certificate

TECHNICAL SKILLS

Must Have

Ability to intrepid, modify and write scripts and SQL queries

Azure Cloud Data Engineer

Azure Databricks

Azure Data Factory

PowerBi Report Server

PySpark

Python

Nice To Have

3+ years of experience with creating stored procedures in SQL

Google Cloud BigQuery, Google Cloud Experience

location: New York, New York

job type: Contract

salary: $78 - 80 per hour

work hours: 9am to 5pm

education: Bachelors



responsibilities:

JOB DESCRIPTION 1.Azure Platform Experience:

The candidate should have hands-on experience with various Azure services including but not limited to

Azure Data Factory, Databricks, Data Lake, and Power BI.

They should be able to design, build, and maintain ETL pipelines, manage data lakes,

and create insightful reports and visualizations.

Experience with Azure SQL Database, Azure Synapse Analytics, Azure COSMOS DB , Azure ML, other Azure services is a plus.

SQL skill is a must to have And .NET C# skills will be a great plus.

2.Azure Data Engineer: Design, implement, and maintain data solutions using Azure cloud services. Develop ETL processes, optimize data pipelines, and ensure data quality and security. Collaborate with teams to deliver scalable data architecture supporting analytics and business intelligence.

3.Security on Azure Platform:

The candidate should have a strong understanding of security protocols within the Azure platform.

This includes knowledge of identity and access management, network security,

encryption methods, secure data communication, and securing serverless architectures.

4.Data Governance:

The candidate should have experience in implementing data governance strategies.

This includes setting up data governance frameworks, defining data ownership,

ensuring data quality, and implementing data privacy and compliance measures.

Knowledge of data cataloging, data lineage, and metadata management is also important.

5.Certifications: Azure certifications such as Azure Security Engineer Associate, or Azure Solutions Architect Expert are highly desirable. Databricks Certified Data Engineer Associate is required. Databricks Machine Learning Certificate

TECHNICAL SKILLS Must Have

• Ability to intrepid, modify and write scripts and SQL queries
• Azure Cloud Data Engineer
• Azure Databricks
• Azure Data Factory
• PowerBi Report Server
• PySpark
• Python

Nice To Have

qualifications:

TECHNICAL SKILLS

Must Have

Ability to intrepid, modify and write scripts and SQL queries

Azure Cloud Data Engineer

Azure Databricks

Azure Data Factory

PowerBi Report Server

PySpark

Python

Nice To Have

3+ years of experience with creating stored procedures in SQL

Google Cloud BigQuery, Google Cloud Experience

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact

Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.