Azure Data Analytics Engineer — Pipelines & BI

SGS Consulting

Phoenix (AZ)

On-site

USD 120,000 - 160,000

Full time

9 days ago

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Job summary

SGS Consulting in Phoenix, AZ seeks a data analytics engineer to design, implement and support analytics solutions that provide insights to drive better decisions. You will work with source data teams and product owners to deliver scalable Azure-based data pipelines and reporting capabilities.

You will own parts of the DevOps lifecycle, contribute to CI/CD, data modeling, testing and production support, and mentor others to build multi-functional teams while upholding data privacy and security

Qualifications

  • Bachelor's degree required.

Responsibilities

  • Work with source data teams and product owners to design, implement and support analytics solutions.
  • Implement data migration and data engineering using Azure and traditional data warehouse tools.
  • Handle design, cloud engineering, ingestion, modeling, testing, CI/CD, and production support.
  • Provide technical leadership and collaborate in a team while also working independently.
  • Be part of a DevOps team that owns and supports the product.
  • Implement batch and streaming data pipelines using cloud technologies.
  • Lead coding standards, best practices, and privacy/security guidelines.
  • Mentor others to create multi-functional teams.

Skills

Azure Data Factory
Azure Databricks
Azure DevOps
Azure Blob Storage
Azure Data Lake
Python
SQL
Spark
Unix
Teradata
Cassandra
MongoDB
Oracle
SQL Server
Snowflake
Grafana
Tableau
Power BI
Cognos
Alteryx
Denodo
GitHub
Jenkins
Terraform
Databricks

Education

Bachelor's degree

Tools

Azure Data Factory
Azure Databricks
Azure DevOps
Power BI
Tableau
Cognos
Denodo
Grafana
Teradata
MongoDB
Snowflake
SQL Server
Oracle
Python

Job description

SGS Consulting in Phoenix, AZ seeks a data analytics engineer to design, implement and support analytics solutions that provide insights to drive better decisions. You will work with source data teams and product owners to deliver scalable Azure-based data pipelines and reporting capabilities.

You will own parts of the DevOps lifecycle, contribute to CI/CD, data modeling, testing and production support, and mentor others to build multi-functional teams while upholding data privacy and security

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