Data Governance Engineer
2 weeks ago
IMPORTANT INFORMATION: This position will be hybrid onsite 60% in Dallas. . There will be 1 virtual and 1 onsite interview *mandatory*. Glider is required.
Key projects: Data Marketplace roll out Data Catalogue and Quality tool roll out Data Governance program
Top Skill Sets: Administering Data Governance platform Experience on Data Catalogue, Quality and Literacy tools 2 yrs of Cloud Development experience in Microsoft Azure 3 yrs data analytics experience using SQL
Description:
Work closely with source data application teams and product owners to design, implement and support analytics and data governance solutions that provide insights to make better decisions
Administer and Support one or more Data Governance platforms for Marketplace, Stewardship, Catalog, Quality and Literacy
Supporting the research, review, recommendation, purchase, installation, and buildout of new software for Data Quality, Observability and Data Access Management software
Integrating our Data Governance and Data Platform products
Supporting Data Governance Frameworks and Automation
Work closely with source data application teams and product owners to design, implement data governance solutions that provide insights to make better decisions
Perform multiple aspects involved in the development lifecycle design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support.
Provide technical leadership and collaborate within a team environment as well as work independently.
Be a part of a DevOps team that completely owns and supports their Data Governance product
Leads development of coding standards, best practices and privacy, security and governance guidelines.
Mentors' others on technical and domain skills to create multi-functional teams
Minimum Qualifications
Education & Prior Job Experience
Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions
3 years data analytics experience using SQL
2 years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
Combination of Development, Administration & Support experience in several of the following tools/platforms required:
Scripting: Python, Spark, Unix, SQL
Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake
Azure Data Explorer. Administration skills a plus
Azure Cloud Technologies: Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions
CI/CD: GitHub, Jenkins, Azure DevOps, Terraform
BI Analytics Tool Stack - Cognos, Tableau, Power BI, Alteryx, Denodo, and Grafana
Data Warehousing: DataStage, Informatica
Data Governance and Privacy: Informatica Axon and EDC, BigID, Anomalo or Montecarlo or other Data Quality tools
Preferred Qualifications- Education & Prior Job Experience
5+ years software solution development using agile, dev ops, product model that includes designing, developing, and implementing large-scale applications or data engineering solutions.
5+ years data analytics experience using SQL
3+ years full-stack development experience, preferably in Azure
3+ years of cloud development and data lake experience (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Functions, ADX, ASA, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI.
3+ years' experience on Data Governance and Data Platform products
Airline Industry Experience
Skills, Licenses & Certifications
Expertise with the Azure Technology stack for data management, data ingestion, capture, processing, curation and creating consumption layers.
Expertise in providing practical direction within the Azure Native cloud services.
Azure Development Track Certification (preferred)
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