Coalesce Lead Data Engineer
Title:
Coalesce Lead Data EngineerDuration:
10 months Location:
Dallas, TX - Client mandate to work from their office in DallasPre-Qualifying Questions:
1.
Expertise in using the Coalesce data transformation tool for efficient and scalable data processing and transformation?2.
Have you held a role as a Lead Data Engineer/Team Lead? Team Size? What project/project scope?3.
Are you advanced in ALL of the required skills?Skills:
Data EngineerSQLPythonData WarehouseSnowflakeAWSCoalesceRequirements:
Lead Data EngineerSQL Expertise:
Develop and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes.
Implement SQL procedures, with a focus on Slowly Changing Dimension (SCD) implementation.
Data Warehousing:
Expertise in data warehousing principles with a deep understanding of facts and dimensions.
Familiarity with Data Vault architecture for scalable and flexible data modelling.
Programming Skills:
Utilize Python for data engineering tasks, automation, and scripting.
Collaborate with software developers and data scientists to integrate data engineering processes into broader software applications.
Coalesce Data Transformation Tool:
Showcase expertise in using the Coalesce data transformation tool for efficient and scalable data processing and transformation.
Snowflake:
Proficient in working with the Snowflake data platform, ensuring the design and implementation of scalable data storage and processing solutions.
Airflow:
Implement and manage data pipelines using Apache Airflow for scheduling, monitoring, and orchestrating ETL processes.
Business Intelligence (Good to Have):
Good to have experience in Business Intelligence (BI) tools and practices.
Additional Skills (Good to Have):
Working experience with Microsoft BI stack:
SSIS, SSAS, SSRS.
Deliverables:
Process FlowsMentor and Knowledge transfer to client project team members.
Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility.
Participate in data conversion and data maintenance.
Provide best practice and industry specific solutions.
Advise on and provide alternative (out of the box) solutions.
Provide thought leadership as well as hands on technical configuration/development as needed.
Participate as a team member of the functional team.
Perform other duties as assigned.
Recommended Skills Architecture Automation Business Intelligence Data Conversion Data Modeling Data Processing Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3t7886612yv6x8f9y6', 'ExternalApply-j3t7886612yv6x8f9y6'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
Coalesce Lead Data EngineerDuration:
10 months Location:
Dallas, TX - Client mandate to work from their office in DallasPre-Qualifying Questions:
1.
Expertise in using the Coalesce data transformation tool for efficient and scalable data processing and transformation?2.
Have you held a role as a Lead Data Engineer/Team Lead? Team Size? What project/project scope?3.
Are you advanced in ALL of the required skills?Skills:
Data EngineerSQLPythonData WarehouseSnowflakeAWSCoalesceRequirements:
Lead Data EngineerSQL Expertise:
Develop and optimize complex SQL queries for data extraction, transformation, and loading (ETL) processes.
Implement SQL procedures, with a focus on Slowly Changing Dimension (SCD) implementation.
Data Warehousing:
Expertise in data warehousing principles with a deep understanding of facts and dimensions.
Familiarity with Data Vault architecture for scalable and flexible data modelling.
Programming Skills:
Utilize Python for data engineering tasks, automation, and scripting.
Collaborate with software developers and data scientists to integrate data engineering processes into broader software applications.
Coalesce Data Transformation Tool:
Showcase expertise in using the Coalesce data transformation tool for efficient and scalable data processing and transformation.
Snowflake:
Proficient in working with the Snowflake data platform, ensuring the design and implementation of scalable data storage and processing solutions.
Airflow:
Implement and manage data pipelines using Apache Airflow for scheduling, monitoring, and orchestrating ETL processes.
Business Intelligence (Good to Have):
Good to have experience in Business Intelligence (BI) tools and practices.
Additional Skills (Good to Have):
Working experience with Microsoft BI stack:
SSIS, SSAS, SSRS.
Deliverables:
Process FlowsMentor and Knowledge transfer to client project team members.
Participate as primary, co and/or contributing author on any and all project deliverables associated with their assigned areas of responsibility.
Participate in data conversion and data maintenance.
Provide best practice and industry specific solutions.
Advise on and provide alternative (out of the box) solutions.
Provide thought leadership as well as hands on technical configuration/development as needed.
Participate as a team member of the functional team.
Perform other duties as assigned.
Recommended Skills Architecture Automation Business Intelligence Data Conversion Data Modeling Data Processing Apply to this job.
Think you're the perfect candidate? Apply on company site $('.
external-apply-email-saved').
on('click', function (event) window.
ExternalApply = window.
open('/interstitial?jobdid=j3t7886612yv6x8f9y6', 'ExternalApply-j3t7886612yv6x8f9y6'); ); Estimated Salary: $20 to $28 per hour based on qualifications.
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