Azure Data Engineer ETL Developer
Azure Data Engineer ETL Developer
Posted on :
11-02-2025
Employer Active
1 Vacancy
The job posting is outdated and position may be filled
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Job Summary:
1. Work as a key member of Enterprise Data Asset team.
2. Analyze datasets to support the agencys cloudbased data management platform.
3. Develop data requirements user stories and acceptance criteria.
4. Develop ETL to extract business data and spatial data and load it into a data warehousing environment.
5. Consult with various teams to understand the companys data storage needs.
6. Must be wellversed in coding languages such as Python Java XML and SQL.
7. Handle multiple projects and remain flexible and productive despite changing priorities and processes.
8. Work with project team members and business stakeholders to understand business processes.
9. Develop expertise in source system datasets and data lifecycle.
10. Elicit record and manage metadata.
11. Decompose requirements into Epics and Features and create clear and concise user stories.
12. Assist Product Owner in maintaining the product backlog.
13. Collaborate with staff vendors consultants and contractors to formulate detail and test potential and implemented solutions.
14. Develop new data engineering processes that leverage a new cloud architecture.
15. Work closely with data analysts data scientists and other data consumers within the business.
16. Minimum of 10 years of experience delivering business data analysis artifacts.
17. 5 years of experience as an Agile Business Analyst.
18. Proficient with defining acceptance criteria and managing acceptance process.
19. Experience with Azure Databricks Azure data factory snowflake.
20. Experience with ESRI ArcGIS and enterprise data management.
21. Strong knowledge of database architectures and data integrations.
22. Exceptional written and oral communications skills.
23. Advanced computer skills and proficiency in MS Office products.
24. Deep passion for data analytics technologies and extensive familiarity with ETL data warehousing and business intelligence tools.
25. Experience with key data warehousing architectures including Kimball and Inmon.
26. Technologies Required: Data Factory v2 Data Lake Store Data Lake Analytics Azure Analysis Services AZURE Synapse IBM Datastage Erwin SQL Server (SSIS SSRS SSAS) ORACLE TSQL Azure SQL Database Azure SQL Datawarehouse Operating System Environments (Windows Unix etc.) Scripting experience with Windows and/or Python Linux Shell scripting.
1. Work as a key member of Enterprise Data Asset team.
2. Analyze datasets to support the agencys cloudbased data management platform.
3. Develop data requirements user stories and acceptance criteria.
4. Develop ETL to extract business data and spatial data and load it into a data warehousing environment.
5. Consult with various teams to understand the companys data storage needs.
6. Must be wellversed in coding languages such as Python Java XML and SQL.
7. Handle multiple projects and remain flexible and productive despite changing priorities and processes.
8. Work with project team members and business stakeholders to understand business processes.
9. Develop expertise in source system datasets and data lifecycle.
10. Elicit record and manage metadata.
11. Decompose requirements into Epics and Features and create clear and concise user stories.
12. Assist Product Owner in maintaining the product backlog.
13. Collaborate with staff vendors consultants and contractors to formulate detail and test potential and implemented solutions.
14. Develop new data engineering processes that leverage a new cloud architecture.
15. Work closely with data analysts data scientists and other data consumers within the business.
16. Minimum of 10 years of experience delivering business data analysis artifacts.
17. 5 years of experience as an Agile Business Analyst.
18. Proficient with defining acceptance criteria and managing acceptance process.
19. Experience with Azure Databricks Azure data factory snowflake.
20. Experience with ESRI ArcGIS and enterprise data management.
21. Strong knowledge of database architectures and data integrations.
22. Exceptional written and oral communications skills.
23. Advanced computer skills and proficiency in MS Office products.
24. Deep passion for data analytics technologies and extensive familiarity with ETL data warehousing and business intelligence tools.
25. Experience with key data warehousing architectures including Kimball and Inmon.
26. Technologies Required: Data Factory v2 Data Lake Store Data Lake Analytics Azure Analysis Services AZURE Synapse IBM Datastage Erwin SQL Server (SSIS SSRS SSAS) ORACLE TSQL Azure SQL Database Azure SQL Datawarehouse Operating System Environments (Windows Unix etc.) Scripting experience with Windows and/or Python Linux Shell scripting.
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
