The company is looking to drive best-in-class analytics across their enterprise client's website, mobile app, and airport technologies.
Requirements
- Scripting: Python, Spark, Unix, SQL
- Data Platforms: Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, Azure Data Explorer
- 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
- Azure (Data Factory, Azure Functions, ADX, Event Hub, ASA) experience
- Expertise with the Azure Technology stack for data management, data ingestion, capture, processing and curation
Responsibilities
- Utilize Development, Administration & Support experience in several tools/platforms
- Implement large-scale applications or data engineering solutions
- Design, develop, and implement data analytics solutions using SQL
- Develop and implement cloud development and data lake solutions using Microsoft Azure
- Orchestrate data pipelines using Azure Data Factory and Tivoli
- Administer data platforms such as Teradata, Cassandra, MongoDB, Oracle, SQL Server, ADLS, Snowflake, and Azure Data Explorer
- Develop and implement data governance and privacy solutions using Informatica Axon and EDC, BigID
Other
- Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training
- 5-7 years software solution development using agile, DevOps, operating in a product model
- 5-7 years data analytics experience using SQL
- 5-7 years of cloud development and data lake experience (prefer Microsoft Azure)
- Embraces work-life balance
- Promotes a culture of learning and advocacy across the globe
- Offers a comprehensive benefits package effective Day 1
