Senior Data Engineer

Analog Devices, Inc. (NASDAQ: ) 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 and on .

Responsibilities

• As a Data Engineer, you be responsible for the design and development of data pipelines, automation, and visualization tools to enable modern AI and analytics solutions.
• Guide the expansion of our data products and solutions by advising and influencing business leaders and senior stakeholders with data-driven insights.
• Partner with the data platform and infrastructure teams to architect and connect high quality, resilient data feeds from across the enterprise.
• Work with AI/ML and software engineers to train and tune AI models and enable fast experimentation and deployment with large dataset

Qualifications

• Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. Minimum 4+ years of relevant experience.
• Broad understanding of distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
• Deep knowledge of Python, SQL, database design, and master data strategies.
• Experience defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle.
• Develop in-depth subject matter-expertise in understanding key strategic data sources and data lineage within the organization.
• Scope key business challenges, identify the right data and provide direction to data analysts, data analytics product managers, data scientists, data engineers and business stakeholders.
• Communicate the value of data clearly by articulating both the high-level concept and detailed user stories for feature enhancements and convince teams to adopt data-driven improvements.

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days