Azure Data Lead - Analyst
Grapevine, TX, United States
Do you have experience:
Extracting and pulling data from data sources from ECC, Oracle, S/4 or similar and transforming it into Azure?
**Please note: We are unable to provide any sort of employer sponsorship for this role**
This is a full time position. No C2C or contractors will be considered at this time.
BASIC PURPOSE AND SCOPE OF POSITION
This position requires a collaboration with business users/analysts/scientists to identify the required data and bring them into Azure analytics platform.
PRINCIPAL ACTIVITIES : This position does the following in accordance with all applicable Federal, State and local laws / regulations and the Company’s policies, procedures and guidelines:
Design, build, and maintain datasets in Azure Data lake/SQL DB/Synapse by extracting data from various source systems
Design and develop data processing
Monitor and optimize data storage and data processing
Work with Security Engineers to implement data security
Actively involved with Production Support and troubleshoot the issues in live system by engaging appropriate internal and external stakeholders, being responsive, leading the root cause analysis and thoughtful on upstream and downstream impacts of the change.
Provide quick resolution of the problems ensuring minimal downtime to the business and adhering to the change control process of the organization
MINIMUM QUALIFICATIONS
EDUCATION, CERTIFICATIONS, AND TRAINING:
Bachelor's degree in Computer Science, Information systems, Engineering or a related discipline; or equivalent combination of education and experience
Certification of Data Engineering on Microsoft Azure is preferred
SKILLS AND BACKGROUND:
Overall 5+ years of experience in the Data and Analytics domain, performing Data Engineering on Business Intelligence, Digital and Data Warehouse projects.
At least 2 full life-cycle Azure implementations preferred
Must be an expert in implementing data warehouse, data lakes, big data, data streaming and ingestion, data retention and archiving, ETL, etc.
Should have experience with Azure Storage/Data Lake, Azure Data Factory, Azure Databricks, Data processing languages SQL and Python or, Data Wrangling, Azure Synapse, and S/4 data structure, preferred
Participates in multiple design activities with authority to make independent choices free from supervision
Requires strong communication skills to work internally with end user departments, management and peers. Develops and provides written and verbal presentations to end users, peers, and support personnel
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