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Data Lead With Azure Data Factory

  • ... Posted on: Jan 21, 2025
  • ... Noblesoft Technologies
  • ... Clatsop County, Oregon
  • ... Salary: Not Available
  • ... CTC

Data Lead With Azure Data Factory   

Job Title :

Data Lead With Azure Data Factory

Job Type :

CTC

Job Location :

Clatsop County Oregon United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Data Lead with Azure Data Factory (ADF), DataBricks
Job Location : Remote allowed
Skill (Primary) : Data Fabric-Cloud Datawarehouse-Snowflake
Experience : 7-12 Years

Job Summary
The Technical Lead will be responsible for leading and managing the implementation, maintenance, and support of Snowflake, Azure Data Factory (ADF), and Data Bricks solutions. The role involves overseeing the technical aspects of projects related to data engineering, data integration, and data processing using these platforms. (1.) Key Responsibilities
1. Lead the design, development, and deployment of snowflake, azure data factory (adf), and data bricks solutions according to project requirements.
2. Collaborate with cross functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity.
3. Provide technical guidance and mentorship to team members on best practices for utilizing snowflake, azure data factory (adf), and data bricks.
4. Troubleshoot and resolve technical issues related to data pipelines, data transformation, and data storage in snowflake, azure data factory (adf), and data bricks.
5. Stay updated on industry trends and best practices related to snowflake, azure data factory (adf), and data bricks to recommend and implement improvements in existing data processes.

Skill Requirements
1. Proficiency in snowflake architecture, implementation, and optimization.
2. Handson experience with azure data factory (adf) including data pipeline development, integration, and monitoring.
3. Strong knowledge of data bricks for big data processing, data engineering, and machine learning workflows.
4. In-depth understanding of data warehousing concepts, etl processes, and data modeling techniques.
5. Excellent problem-solving skills and ability to work in a fast paced environment.
6. Strong communication and leadership skills to effectively collaborate with team members and stakeholders.

Jobcon Logo Position Details

Posted:

Jan 21, 2025

Employment:

CTC

Salary:

Not Available

Snaprecruit ID:

SD-CIE-9d10a86a4b326128a955cbc8635c4f6f719aa8703221406ef6ae1a5c0a644d31

City:

Clatsop County

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Data Lead with Azure Data Factory (ADF), DataBricks
Job Location : Remote allowed
Skill (Primary) : Data Fabric-Cloud Datawarehouse-Snowflake
Experience : 7-12 Years

Job Summary
The Technical Lead will be responsible for leading and managing the implementation, maintenance, and support of Snowflake, Azure Data Factory (ADF), and Data Bricks solutions. The role involves overseeing the technical aspects of projects related to data engineering, data integration, and data processing using these platforms. (1.) Key Responsibilities
1. Lead the design, development, and deployment of snowflake, azure data factory (adf), and data bricks solutions according to project requirements.
2. Collaborate with cross functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity.
3. Provide technical guidance and mentorship to team members on best practices for utilizing snowflake, azure data factory (adf), and data bricks.
4. Troubleshoot and resolve technical issues related to data pipelines, data transformation, and data storage in snowflake, azure data factory (adf), and data bricks.
5. Stay updated on industry trends and best practices related to snowflake, azure data factory (adf), and data bricks to recommend and implement improvements in existing data processes.

Skill Requirements
1. Proficiency in snowflake architecture, implementation, and optimization.
2. Handson experience with azure data factory (adf) including data pipeline development, integration, and monitoring.
3. Strong knowledge of data bricks for big data processing, data engineering, and machine learning workflows.
4. In-depth understanding of data warehousing concepts, etl processes, and data modeling techniques.
5. Excellent problem-solving skills and ability to work in a fast paced environment.
6. Strong communication and leadership skills to effectively collaborate with team members and stakeholders.

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