Azure Data Engineer

Job Description: POC: Sam Chavez

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Job Title: Lead Consultant Cloud Platform Amazon Webservices Automation Azure Data Engineer
Work Location & Reporting Address: Weehawken, NJ 7086 (Onsite - LOCAL CANDIDATES ONLY )
Contract duration: 6
MAX VENDOR RATE: per hour max (NOT NEGOTIABLE)
Target Start Date: 24 Apr 2025
Does this position require . independent candidates only? No

Must Have Skills:

• Azure Cloud

• ADF

• ADLS

• Databricks

• Python

• Pyspark

• SQL

• PL\SQL

• UNIX\Shell Script

• ETL

• Datawarehouse

• PostgresSQL

• Oracle

• Azure DevOps

• GITLAB

Nice to Have Skills:

Detailed Job Description:
An Azure Data Engineer designs, builds, and maintains data pipelines and storage solutions on the Microsoft Azure cloud platform. They are responsible for ensuring data is reliable, efficient, and readily available for analytics. This role requires expertise in various Azure services and data processing techniques.

Key Responsibilities:

• Data Storage: Design and implement data storage solutions on Azure, choosing appropriate services like Azure SQL Database, Cosmos DB, or Data Lake Storage.

• Data Pipelines: Build, maintain, and optimize data pipelines for moving and transforming data.

• Data Processing: Develop and implement data processing logic using tools like Azure Databricks and Azure Synapse Analytics.

• Data Quality: Ensure data accuracy, consistency, and completeness.

• Security and Governance: Implement security measures and adhere to data governance standards.

• Monitoring and Optimization: Monitor data pipelines and storage solutions for performance and efficiency, identifying and resolving issues.

• Collaboration: Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions.

Skills and Knowledge:

• Azure Services: Expertise in Azure Data Factory, Synapse Analytics, Databricks, Data Lake Storage, and other relevant services.

• Data Processing Languages: Strong proficiency in SQL, Python, and Scala.

• Data Modeling: Knowledge of relational and non-relational data models.

• Cloud Computing: Understanding of cloud architectures, storage, and security.

• Data Engineering Concepts: Experience with ETL/ELT processes, data pipelines, and data warehousing.

• Data Governance: Understanding of data governance principles and practices.

Minimum Years of Experience:

Certifications Needed:
No

Top 3 responsibilities you would expect the Subcon to shoulder and execute:

• Azure Cloud

• Agile, ADF, ADLS, Power BI, Automated Testing

• UI, API, Database

Interview Process (Is face to face required?)
No

Any additional information you would like to share about the project specs/ nature of work:
Drug test details: Refer BGC attachment in Intake Form mail