What are the responsibilities and job description for the Cloud Data Engineer (lead) position at Jobs via Dice?
JOB TITLE: CLOUD DATA ENGINEER LEAD
JOB LOCATION: REMOTE (DC)
WAGE RANGE*: 75.00-78.00 PER HOUR
JOB NUMBER: SAIJP00038665
REQUIRED EXPERIENCE:
JOB LOCATION: REMOTE (DC)
WAGE RANGE*: 75.00-78.00 PER HOUR
JOB NUMBER: SAIJP00038665
REQUIRED EXPERIENCE:
- At least a BS degree in Computer Science or related field and 9 years experience.
- 5 years of proven experience leading a team supporting enterprise data warehousing using Microsoft data warehousing and reporting solutions.
- 5 years of experience working directly with clients to understand data needs, develop and deliver solutions (data engineering, reports, dashboards, data extracts), and provide continued support.
- 5 years of strong experience in ETL performance testing for traditional EDW and Azure Cloud Data platforms with the use of tools such as JMeter, Native Azure Tools like Azure App Testing, Azure Monitor Log Analytics, Spark UI Ganglia for Lakehouse Performance.
- 5 years of experience delivering solutions using Microsoft database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
- 5 years of experience with more than one of the following scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
- 3 years of experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
- At least a BS degree in Computer Science or related field and 9 years experience.
- 5 years of proven experience leading a team supporting enterprise data warehousing using Microsoft data warehousing and reporting solutions.
- 5 years of experience working directly with clients to understand data needs, develop and deliver solutions (data engineering, reports, dashboards, data extracts), and provide continued support.
- 5 years of strong experience in ETL performance testing for traditional EDW and Azure Cloud Data platforms with the use of tools such as JMeter, Native Azure Tools like Azure App Testing, Azure Monitor Log Analytics, Spark UI Ganglia for Lakehouse Performance.
- 5 years of experience delivering solutions using Microsoft database, ETL/ELT, and business intelligence tools, including SQL Server (e.g. stored procedures), SSIS, SSRS, SSAS, (cubes).
- 5 years of experience with more than one of the following scripting languages: SQL, T-SQL, Python, PySpark, PowerShell.
- 3 years of experience designing and building ETL/data engineering solutions utilizing various cloud services such as Azure Data Lake Services, Azure Synapse Analytics, Azure Data Factory, Integration Runtime.
- Cloud Data Engineering to lead a team of developers in, Design and implementation of data engineering solutions for Azure Cloud based Data Lake, SQL, and NoSQL data stores.
- As a technical lead, you will work directly with end users to translate business requirements into cloud data engineering to support an enterprise scale Microsoft Azure based data analytics and reporting platform.
- Our ideal candidate is mission focused and delivery oriented, and applies critical thinking, including the use of AI concepts, to create innovative functions and solve technical issues.
- While an hourly range is posted for this position, an eventual hourly rate is determined by a comprehensive salary analysis which considers multiple factors including but not limited to: job-related knowledge, skills and qualifications, education and experience as compared to others in the organization doing substantially similar work, if applicable, and market and business considerations. Benefits offered include medical, dental and vision benefits; dependent care flexible spending account; 401(k) plan; voluntary life/short term disability/whole life/term life/accident and critical illness coverage; employee assistance program; sick leave in accordance with regulation. Benefits may be subject to generally applicable eligibility, waiting period, contribution, and other requirements and conditions. Benefits offered are in accordance with applicable federal, state, and local laws and subject to change at TCM's discretion.