Mid Level - Azure Data Engineer

Vsg Business Solutions

Fort Worth, TX, United States

16 days ago

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Role details

Contract type

Temporary to permanent

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

3 years minimum

Compensation

$79,040.0 - $93,600.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Business Analytics Applications Microsoft Azure Big Data Unix Information Engineering DevOps Github IBM Cognos Business Intelligence Python (Programming Language) Microsoft SQL Server MongoDB Oracle (Applications)

+22 more

Power BI Standard Sql DataOps SQL Databases Data Streaming Tableau (Software) Teradata SQL Scripting Data Ingestion Azure Data Factory Snowflake Apache Spark Data Lakes Solid Principles Cassandra Data Analytics Data Management Terraform Serverless Computing Jenkins Alteryx Databricks

Job description

Design, develop, and support scalable data engineering and analytics solutions.
Build batch and streaming data pipelines using Microsoft Azure.
Work with Azure Data Factory, Databricks, ADLS, Blob Storage, Event Hub, Azure Functions, and Power BI.
Perform data ingestion, transformation, modeling, testing, deployment, and production support.
Develop CI/CD pipelines and follow DevOps, security, privacy, and coding best practices.
Collaborate with senior developers, product owners, and source application teams., Looking for a strong Azure Data Engineer with hands-on Python + SQL + Azure data engineering experience. Candidates must demonstrate real-world Python development, not just list Python on their resume. A Submission format please complete in full: First Middle Last Name Pay Rate: Skill Highlights- please indicate the # of years on each of the following skills:
Azure
Data Engineering
Python
Spark
Databricks

Visa Status: Location: Availability to interview: Availability to start: Vacations: LinkedIn Profile: Phone Number: Email Address: Last 4 of SSN: MM/DD of birth: If on a visa, attach copy. Proof of ID - please attach Previous Client Experience (need manager name, group/LOB, if they were FTE or contractor, and dates)

Requirements

3+ years of software/data engineering experience.
Strong SQL and data analytics experience.
Strong Python scripting/development experience - critical requirement.
Strong experience with Microsoft Azure and data lake technologies.
Experience with Azure Data Factory, Azure Databricks, ADLS, Azure DevOps, and related Azure services.
Knowledge of Spark, Unix, and SQL.
Experience with data platforms such as Teradata, Snowflake, SQL Server, Oracle, MongoDB, or Cassandra.
Understanding of software design principles, big data, and data engineering best practices.

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