Overview The Sr. Data Engineer requires expertise in DataOps and is responsible for guaranteeing dependable, scalable and effective data processes and solutions by combining components, functions and skills from data engineering, software engineering and IT Operations. This role is critical to AM Best's goal of developing, maintaining and scaling a sophisticated platform for data and analytics. Responsibilities Create and support scalable data solutions: * Build high performance data systems including databases, APIs, and data integration pipelines * Implement a metadata-driven architecture and infrastructure as code approach to automate and simplify the design, deployment, and management of data systems * Facilitate the adoption of data and software engineering best practices, including code review, testing, and continuous integration and delivery (CI/CD) * Develop and establish a data governance framework * Continuous monitoring of process performance and implement improvements for efficiency including fine-tuning existing ETL processes, optimizing queries, or refactoring code * Assess and make optimal use of cloud platforms and technologies, especially Azure and Databricks to enhance system architecture * Implement data quality checks and build processes to identify and resolve data issues * Create and maintain documentation for data architecture, standards, and best practices * Contribute designs, code, tooling, testing, and operational support Increase operational efficiency: * Identify opportunities for process optimization and automation to enhance data operations efficiency Leadership and innovation: * Provide technical leadership to the data engineering team and actively lead design discussions * Ensure that the new data infrastructure remains modern and efficient by staying knowledgeable of the latest tools, technologies, and methodologies in the data and analytics space Qualifications * 7 plus years of experience working as a Data Engineer, Data Architect, Database Developer or similar roles * Bachelor's Degree in Computer Science, Data Science, Engineering or related field Skills * 7+ years of experience in programming languages such as Python, Scala, Java, Rust or similar • 7+ years of experience in Oracle OLTP database design and development • 7+ years of experience in building ETL / ELT data pipelines using Apache Spark, Airflow, dbt or similar • 7 years of experience in developing APIs that include REST, SOAP, RPC, GraphQL or similar • 7 years of experience in OLAP / data warehouse design and development using dimensional (Kimball star-schema), data vault or Inmon methodologies • 5 years of experience in NoSQL database design and development preferably on MongoDB or similar • 5 years of experience working with message broker platforms like RabbitMQ, Apache Kafka, Red Hat AMQ or similar • 5 years of experience working with Azure or AWS cloud-native technologies / services • Working knowledge of CI/CD automation tools or services like Jenkins, Ansible, Chef, Puppet or similar • Working knowledge of containerized platform or services like Docker, Kubernetes or similar • Must be hands-on, have a passion for data and problem solving, and an innovative mind-set to help deliver results across projects Pluses: • Experience working with Databricks data intelligence platform • Experience working with business intelligence tools / platforms like PowerBI, Cognos, Tableau or similar • Experience working with caching databases: Memcache,Redis or similar • Experience working with search databases and platforms: Elasticsearch, Apache Solr or similar • Experience working with data modeling tools: ERwin, ERStudio, Navicat, SqlDBM or similar • Knowledge of data governance tools: Colibra, Alation or similar • Knowledge of master data management tools: Informatica, TIBCO, Riversand, Ataccama or similar