Vacancy expired!
- This role is a part of the Data Engineering and Analytics team within client’s Technology group.
- You’ll bring your data engineering, collaboration, and analytics skills to help cultivate a data driven culture by designing and delivering analytics solutions and making data analytics easier and more effective for the client.
- Management will modify the job or require other tasks be performed whenever it is deemed appropriate to do so, observing, of course, any legal obligations including any collective bargaining obligations.
- Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions
- Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools.
- 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 product
- Implement batch and streaming data pipelines using cloud technologies
- Leads development of coding standards, best practices and privacy and security guidelines.
- Mentors others on technical and domain skills to create multi-functional teams
- Python, SQL, Cloud.
- 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
- 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.
- Airline Industry Experience
- 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)
- Spark Certification (preferred)
- Ability to effectively communicate both verbally and written with all levels within the organization
- Physical ability necessary to perform the essential functions of the position safely and successfully, with or without any legally required reasonable accommodations that do not pose an undue hardship.
- Note: If the Company has reason to question an employee’s physical ability to safely and/or successfully perform the position’s essential job functions, the HR team generally will engage in an interactive process to determine whether a reasonable accommodation is appropriate. HR (working with the operation) ordinarily first speaks with the team member directly and they mutually identify the physical demands of the job that are or may be impacted by the employee’s obvious or known condition. Then, if necessary, HR would request medical documentation from the team member’s treating physician or others to confirm the employee’s ability to perform those essential job functions safely and successfully.
Vacancy expired!