Data Analytics Architect

Remote • Posted 3 hours ago • Updated 3 hours ago
Contract Independent
Contract W2
Contract Corp To Corp
6 Months
No Travel Required
Remote
Depends on Experience
Fitment

Dice Job Match Score™

🛠️ Calibrating flux capacitors...

Job Details

Skills

  • Data Analytics
  • Analytics
  • Architect
  • Azure

Summary

 

Location – Remote USA

Duration – Long term

 

Note : Visa Independent candidate are encouraged to apply.

 

Job Description:

Responsibilities

1 Lead the architecture design and implementation of advanced analytics solutions using Azure Databricks Fabric. The ideal candidate will have a deep understanding of big data technologies, data engineering and cloud computing with a strong focus on Azure Databricks along with Strong SQL

2 Work closely with business stakeholders and other IT teams to understand requirements and deliver effective solutions

3 Oversee the endtoend implementation of data solutions ensuring alignment with business requirements and best practices

4 Lead the development of data pipelines and ETL processes using Azure Databricks PySpark and other relevant tools

5 Integrate Azure Databricks with other Azure services eg Azure Data Lake Azure Synapse Azure Data Factory and onpremise systems Spark expert Scala added advantage Fabric expert covering all the scenarios such as pipeline notebook development semantic modelling RTI etc

6 Provide technical leadership and mentorship to the data engineering team fostering a culture of continuous learning and improvement

7 Ensure proper documentation of architecture processes and data flows while ensuring compliance with security and governance standards

8 Ensure best practices are followed in terms of code quality data security and scalability

9 Stay updated with the latest developments in Databricks and associated technologies to drive innovation

 

Essential Skills

  • Strong experience with Azure Databricks including cluster management notebook development and Delta Lake
  • Proficiency in big data technologies eg Hadoop Spark and data processing frameworks eg PySpark
  • Deep understanding of Azure services like Azure Data Lake Azure Synapse and Azure Data Factory Power BI SSRS SSAS PSKU to F SKU
  • Experience with ETL ELT processes data warehousing and building data lakes
  • Strong SQL skills and familiarity with NoSQL databases
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91140487
  • Position Id: 1900-26920-4205
  • Posted 3 hours ago
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