Senior - Azure Data Engineer

Key Skills

Aartificial intelligence, Automation, Azure, C++, Data Lake, Data pipelines, Data Warehousing, Databricks, Debugging, Java Programming, Machine learning techniques, NoSQL, Python Programming, SQL, Synapse

Job Description

About Gartner IT:

Join a world-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome-driven approach to success, and the notion that great ideas can come from anyone on the team. 

About the role:

Gartner is looking for a Senior Azure Data Engineer focused on development of integrations/infrastructure leveraging Azure Data Factory/Azure Synapse for our People Technology Projects. The role would primarily focus on conducting data analysis, developing/supporting high performance data ingestion pipelines, data modelling, dashboarding and collaborating with business teams to create scalable solutions as per business requirements.

What you’ll do: 

• Design, test and implement high performance data ingestion pipelines from multiple sources using Azure Data Factory, Databricks
• Collaborate with architects and business/data science teams to create scalable Azure based solutions as per business requirements.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Develop data models and schemas in our data warehouse that enable performant, intuitive analysis.
• Provide expertise and leadership regarding cloud Architecture for infrastructure in Microsoft Azure.
• Recommend best practice methods for improvement and optimization of current infrastructure.
• Create specification documents for designs, testing and support processes.
• Analyze business requirements and prepare development project schedule, tasks, and estimates.
• Collaborate with project team members to identify issues and risks associated with the design, implementation, and delivery of project assignments

What you’ll need:

• 4+ years of IT Professional experience
• Minimum 4 years of experience with Azure: ADLS, Data Factory, Databricks, SQL DW, Azure Functions, Server less Architecture, ARM Templates
• Basic knowledge of Azure ML and AI Workspace.
• Proficient in any object-oriented/ functional scripting languages: Java, Python, C# etc.
• Extensive experience in designing and developing new solutions on the Azure Cloud Platform specifically using Azure SQL Data Warehouse/DB, Azure Data Factory, Azure Data Lake Store/Blob, Azure Synapse, Databricks.
• Experience with relational SQL and NoSQL databases, with strong t-SQL skills with experience in Azure SQL DW
• Experience working with and creating databases and Power BI dashboards using all relevant data to inform decisions.
• Experience in creating, debugging, migrating data pipelines using Azure Data Factory
• Ability to create and maintain conceptual/business, logical and physical data models.
• Lead QA and Development efforts for automation, data pipelining, and dashboarding within the team.
• Preferably working in HR analytics, HR data

What you’ll get:

• Competitive Compensation Packages
• 23 days annual holiday, and additional days off for your birthday, 24th & 31st of December.
• Private Medical and Dental Care.
• Life and Disability Insurance.
• Public Transport Subsidy.
• Ticket Restaurant Card.
• Childcare Vouchers (Ticket Guarderia).
• IncentiFit - annual reimbursement for health-and-wellness-related activities.
• Spanish lessons.
• Pension Scheme.
• Tuition Reimbursement.
• Employee Stock Purchase Plan.
• Employee Assistance Program.
• Gartner Gives Charity Match.
• Relocation Assistance - a specialist to help you with all the appointments and paperwork.