Senior Staff Data Engineer

Staff Data Engineer

About Analog Devices

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 $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com and on LinkedIn and Twitter (X).

          

Staff Data Engineer

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 FY22 and approximately 25,000 people globally working alongside 125,000 global customers, ADI ensures today’s innovators stay Ahead of What’s Possible.

Location: Bangalore, India

Overview:

As a Staff Data Engineer, you will provide technical leadership, lead data engineering initiatives, and build end-to-end analytical solutions that are highly scalable, performant, secure, and resilient. You rely on sound judgement, critical thinking, and creativity to deliver customer focused data solutions that create meaningful business impact. You are experienced with various patterns of data ingestion, processing, and curation. You understand criticality of data mesh architecture, data modeling, data quality, security & governance practices and are adept at it. You design solutions with strategic and long-term focus on code quality, reliability, reusability, maintainability and dataops. You are experienced in building efficient and scalable data services.

Responsibilities

• Design and development of data pipelines, automation, and visualization tools to enable modern Data 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 enterprise architects, review data architecture and ensure alignment.
• Perform design and development in technologies like Fivetran, Snowflake, DBT, Python, SQL, Spark, Kubernetes, Kafka and utilize cloud technologies like Azure, AWS, and GCP.
• Lead the execution of large scale, complex data and analytics efforts, as well as mentor complex projects using a wide breadth of data science and analytical techniques.
• 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.
• Drive innovation by creating new frameworks, standards, prototypes, and automation projects in relevant areas.
• Experience working with petabyte scale structured/semi-structured/unstructured data efficiently by designing, building and maintaining robust data processing frameworks for enabling actionable insights and analytics.
• Create dashboards using enterprise tools such as PowerBI and Tableau.

Qualifications:

• 10+ years of experience in software engineering, including 5+ years working with data engineering technologies.
• Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 
• Broad expertise and experience with 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.
• Broad expertise and experience with technologies like Snowflake, DBT, Python, SQL, Spark, Kubernetes, Kafka, Fivetran,  and utilize cloud technologies like Azure, AWS, and GCP.
• Experience in Supply Chain and Semiconductor Manufacturing.
• Experience mentoring and leading junior technical staff, incorporating modern software development tools and practices.
• A confident peer influencer with strong communication skills who quickly establishes credibility and can lead cross-functional technical teams.

Additional Qualifications (good to have):

Experience in the manufacturing industry or a similar domain. Familiarity with handling IOT / edge device data. Certifications in cloud platforms or data engineering.

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.

Job Req Type: Experienced

          

Required Travel: No

          

Shift Type: 1st Shift/Days

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.

Job Req Type: Experienced

          

Required Travel: Yes, 10% of the time

          

Shift Type: 1st Shift/Days

Experience Level

Senior Level