Data Scientist

Analog Devices, Inc. (NASDAQ: ADI) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $12 billion in FY23 and approximately 26,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible. Learn more at www.analog.com and on LinkedIn.

Analog Devices (NASDAQ: ADI) designs and manufactures semiconductor products and solutions. We enable our customers to interpret the world around us by intelligently bridging the physical and digital worlds with unmatched technologies that sense, measure and connect.

The Automotive Electrification and Sustainable Energy (AES) Business Unit's Advanced Technology team is dedicated to developing technologies that expedite the adoption of electric vehicles and enable rapid transition to 100% carbon-free energy grid. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure, systems, and pipelines. You will collaborate closely with our data scientists, research scientists, and software engineers to ensure the availability, efficiency, and reliability of our data processes and architecture.

Responsibilities

• Design, develop, and maintain scalable and efficient data pipelines and ETL (Extract, Transform, Load) processes.
• Collaborate with cross-functional teams to gather data requirements and implement data solutions.
• Identify and implement appropriate data storage and retrieval solutions based on business needs.
• Ensure data quality, integrity, and accuracy through data validation, cleansing, and transformation techniques.
• Monitor and optimize data infrastructure performance, troubleshoot issues, and provide timely resolution.
• Implement data security and privacy measures to protect sensitive information.
• Continuously evaluate and recommend improvements to our data infrastructure, tools, and processes.
• Stay up-to-date with emerging trends and technologies in the field of data engineering.

Required Skillset:

• Master's degree in Computer Science, Engineering, or a related field (or equivalent industry experience).
• Proven experience as a Data Engineer or similar role, preferably in a fast-paced environment.
• Proficiency in programming languages such as Python, Java, or Scala.
• Strong understanding of data modeling, database design, and data warehousing concepts.
• Experience with cloud-based data platforms (e.g., AWS, Azure, GCP) and related services (e.g., S3, Redshift, BigQuery).
• Solid knowledge of SQL and NoSQL databases.
• Familiarity with data integration tools (ETL) and frameworks (e.g., Apache Kafka, Apache NiFi, Apache Beam).
• Experience with version control systems (e.g., Git) and collaborative coding practices.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment.

Desirable Experience

• Experience with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Knowledge of machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
• Knowledge of MLOps workflow tools (e.g., Kubeflow)
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export  licensing approval from the U.S. Department of Commerce - Bureau of Industry and Security and/or the U.S. Department of State - Directorate of Defense Trade Controls.  As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.

Analog Devices is an equal opportunity employer. We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.

EEO is the Law: Notice of Applicant Rights Under the Law.