Analytics Engineer

$93,300 - $162,300/Yr

Viasat - La Costa, CA

Full-time - Mid Level

La Costa, CA

Computer and Electronic Product Manufacturing

About the position

The Azure Analytics Engineer will be responsible for designing, building, and maintaining cloud-based analytics solutions using Microsoft Azure services. This role involves collaboration with cross-functional teams to develop scalable and cost-effective analytics solutions that meet business requirements.

Responsibilities

• 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.

Requirements

• 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 Microsoft Azure services.
• Strong proficiency in SQL, Python, and other data programming languages.
• Solid understanding of data warehousing, data integration, and data modeling 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.

Nice-to-haves

• Microsoft Azure certifications (e.g., Azure Data Engineer Associate, Azure Data Scientist Associate).
• Experience with data governance, data quality, and data security best practices.
• Knowledge of DevOps principles and tools (e.g., Azure DevOps, Git).
• Familiarity with corporate ERP systems, i.e. Oracle and SAP.
• Experience in mentoring and guiding junior team members.

Benefits

• Comprehensive medical benefits
• Financial benefits
• Stock incentives
• Holistic health and wellness programs