JOB DESCRIPTION

We are looking for a Data Engineer with outstanding technical skills. This position is essential for designing, building, and maintaining our Data Platform. It requires a strong grasp of data platforms, cloud data architecture, and practical experience with Azure Data services. This role specializes in the conceptual design, capacity planning, interface specifications, data loading and maintenance, data integration and processing, building data pipelines, centralized data stores and databases and data security associated with data collection along with Big Data platform development and deployment.

• Collaborate with our infrastructure, database management teams and the broader IT organization to design, build, and manage scalable, efficient data processing systems both on-premises and in the cloud.
• Develop and maintain high-performance ETL/ELT pipelines to transfer large datasets across systems, ensuring data integrity and reliability.
• Architect and optimize data solutions on Azure, leveraging services such as Azure Data Lake, Synapse Analytics, SQL Data Warehouse, and Blob Storage.
• Integrate data from various sources, including on-prem systems, third-party platforms, and external sources, using tools like Azure Data Factory and Databricks.
• Work closely with our Database management team to Manage Azure-based databases, ensuring data consistency, security, and seamless accessibility.
• Implement and enforce data governance policies, encryption protocols, and access controls to meet security and compliance standards.
• Proactively monitor data pipelines, resolve issues, and apply data validation to ensure high data quality and accuracy.
• Work closely with data scientists, analysts, DBA’s and business teams to understand data requirements and deliver tailored solutions.
• Optimize data storage and query performance in cloud environments, ensuring scalability, cost-efficiency, and high availability.
• Onboarding, consolidating, cleansing, and structuring data for efficient use in reports, analytical applications, and machine learning models.
• Collaborate with AI/ML teams to train and fine-tune ML models, enabling rapid experimentation and deployment with large datasets.
• Document architecture, data pipelines, and models, producing detailed reports on data flow and system performance.
• Implement DevOps practices for the Data Function, including CI/CD pipelines using tools like GitLab, Jenkins, Puppet, or Chef.
• Leverage Infrastructure as Code (IaC), test-driven development, and agile methodologies to scale data solutions.

Traits we believe make a strong candidate.

• Proven experience in designing and implementing data architectures on Azure or similar platforms.
• Expertise in data integration tools and techniques, with a strong focus on performance optimization and security.
• Hands-on experience with Azure Synapse Analytics, Azure Data Factory, and other Azure data services, Azure DevOps, CI/CD data pipelines, and cloud-based development practices.
• Proficient in SQL and data modeling, expertise in programing languages like Python or Scala
• A Team player with strong collaboration and problem-solving skills to translate complex data needs into actionable solutions.

Preferred Education & Experience

• At least 6 years of experience as Data Engineer  
• Bachelor’s degree in computer science, Data Science, or a related field
• Azure certifications, such as Azure Solutions Architect

EQUAL OPPORTUNITY STATEMENT

It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law.  Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company.