Analytics Engineer

One team. Global challenges. Infinite opportunities. At Viasat, we're on a mission to deliver connections with the capacity to change the world. For more than 35 years, Viasat has helped shape how consumers, businesses, governments and militaries around the globe communicate. We're looking for people who think big, act fearlessly, and create an inclusive environment that drives positive impact to join our team.

We are seeking an experienced Azure Analytics Engineer to join the Corporate Data & Analytics team. In this role, you will be responsible for designing, building, and maintaining cloud-based analytics solutions using Microsoft Azure services. You will work closely with cross-functional teams, including data engineers, data scientists, and business stakeholders, to understand their requirements and develop robust, scalable, and cost-effective analytics solutions.

• Design and implement analytics solutions using Azure services such as Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Machine Learning
• Develop and optimize ETL/ELT processes to extract, transform, and load data from various sources into data lakes and data warehouses
• Build and integrate machine learning models and data pipelines into end-to-end analytics solutions
• Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions
• Implement data governance, data quality, and data security best practices for analytics solutions
• Optimize analytics solutions for performance, scalability, and cost-effectiveness, leveraging Azure's cloud-native capabilities
• Automate and orchestrate analytics workflows using Azure Data Factory, Azure Databricks, and other Azure services
• Monitor and troubleshoot analytics pipelines and solutions, ensuring high availability and reliability
• Stay up-to-date with the latest Azure analytics services and technologies, and continuously improve and refine analytics solutions

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent professional experience
• 3+ years of experience in developing analytics solutions, with experience using SAP HANA Enterprise Edition and related tools (e.g. SAP HANA Studio, WebIDE)
• Strong proficiency in SQL, Python, and other data programming languages
• Solid understanding of data warehousing, data integration, and data modelling concepts
• Experience with big data technologies such as Apache Spark and distributed computing frameworks
• Familiarity with machine learning and artificial intelligence concepts
• Knowledge of cloud computing principles, including scalability, availability, and cost optimization
• Strong problem-solving and analytical skills
• Excellent communication and collaboration abilities
• US Citizenship is required
• Up to 10% travel

• SAP HANA Certifications (e.g. SAP Certified Development Specialist - SAP HANA 2.0 or equivalent)
• Experience with data governance, data quality, and data security best practices
• Knowledge of DevOps principles and tools, with a focus on SAP-centric environments (e.g. SAP CI/CD Pipelines, Git)
• Familiarity with corporate ERP systems, i.e. Oracle and SAP.
• Experience in mentoring and guiding junior team members

Viasat is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic. If you would like to request an accommodation on the basis of disability for completing this on-line application, please click here.