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.

Responsibilities

Gather business and functional requirements and translate them into robust, scalable solutions aligned with Data Architecture guidelines. Perform hands-on development work on data analysis, data profiling , mapping it to master data elements , data cleansing and mastering. Contribute in executing on a master data vision and building customer, product , partner, Reference and Vendor master Understand the governance needs of each of these masters. Design , Develop and Maintain Data quality dashboards using python , Power BI. Cleanse and enrich master data elements like Addresses, postal codes etc. Integrate with 3rd party enrichment sources like D&B , HG Insights etc . Connect to data sources using Python and SQL . Profile the data and identify duplicates Participate in daily scrums , perform development and deployments in agile sprints with minimal supervision Create dashboards using enterprise tools such as Tableau and PowerBI. 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. Collaborate with business stakeholders, data scientists, and analysts to understand data requirements and translate them into technical specifications. Perform root cause analysis of issues that hinder the data quality. Work with data source owner to increase quality and accuracy of the source data.  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. 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. Help in establishing enterprise business glossary and other data management best practices.

Qualifications:

• 10+ years of experience in software engineering, including 5+ years working with data engineering / master data technologies.
• Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field. 
• Expert in at least one of Profisee, TAMR , Stibo or Semarchy MDM solutions.
• Have been part of at least 3 master data implementations (at least two around product data in a manufacturing organization and at least one in customer data )
• Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka etc.
• Deep knowledge of Python, SQL, database design, and master data strategies.
• Working experience on at least 1 of GCP , AWS or Azure cloud paltforms
• A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of leading cross-functional technical teams.

Additional Qualifications (good to have):

Experience in the chip manufacturing industry or a similar domain. Certifications in cloud platforms or data engineering. Knowledge of Informatica multidomain MDM and/or SAP MDG Knowledge of Snowflake

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: ExperiencedRequired Travel: NoShift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $130,000 to $178,750.

• Actual wage offered may vary depending on work location, experience, education, training, external market data, internal pay equity, or other bona fide factors.

• This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

• This position includes medical, vision and dental coverage, 401k, paid vacation, holidays, and sick time, and other benefits.