Senior Azure Databricks Engineer - Fully Remote

Altamira

Town of Poland (NY)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Competitive pay
Fully remote work
No micromanagement
Tech equipment provided
20 paid vacation days
Flexible schedule
Opportunity to learn and experiment

Job summary

Altamira is seeking a highly technical Senior Azure Databricks Engineer to optimize and productionize Databricks workloads. This role offers the flexibility of remote work along with fair compensation and opportunities for growth.

Your responsibilities will include designing data processes, developing data models, and optimizing ETL performance. The ideal candidate will have proficiency in Databricks, Azure Data Factory, and strong Python skills.

Enjoy a work-life balance with flexible schedules and 20 paid vacation days!

Qualifications

  • Proficiency in Databricks, Delta Lake, Python, PowerShell, MS SQL Server, and T-SQL.
  • Strong knowledge of Azure Data Factory, Azure Data Lake, and Cosmos DB.
  • Experience with Azure DevOps, Git, Visual Studio, testing, and optimizing data flows.
  • Solid understanding of data warehouse and transactional modeling concepts.
  • Experience with Power BI is a plus.

Responsibilities

  • Design and implement data processes like ADF Pipelines and Databricks.
  • Develop and version data models.
  • Work with Azure cloud-based data infrastructures.
  • Develop and execute schema and data migrations.
  • Optimize ETL performance.

Skills

Databricks
Delta Lake
Python
PowerShell
MS SQL Server
T-SQL
Azure Data Factory
Azure Data Lake
Cosmos DB
Azure DevOps
Git
Visual Studio
Power BI

Job description

Altamira is seeking a highly technical Senior Azure Databricks Engineer to optimize and productionize Databricks workloads. This role offers the flexibility of remote work along with fair compensation and opportunities for growth.

Your responsibilities will include designing data processes, developing data models, and optimizing ETL performance. The ideal candidate will have proficiency in Databricks, Azure Data Factory, and strong Python skills.

Enjoy a work-life balance with flexible schedules and 20 paid vacation days!

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