Senior Data Engineer - MDM

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 .

nalog 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

Additional Locations: Hyderabad

Overview:

As a Senior MDM Data Engineer, you will build end-to-end Master Data 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 will partner with peers in IT/Data Engineering/AI teams for integrating upstream data sources and downstream data consumers. You will help in creating single sources of truth for the enterprise and thus eliminate data silos. You are experienced with various patterns of data integration, processing, and curation. You understand criticality of data quality, security & governance practices . 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

• 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.
• 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.

Qualifications:

• 7+ 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 2 master data implementations (one around product data in a manufacturing organization, 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.

Experience in the manufacturing industry or a similar domain.

Certifications in cloud platforms or data engineering.

Knowledge of Informatica multidomain Mdm and/or SAP MDG

Job Req Type: Experienced

Required Travel: Yes, 10% of the time

Shift Type: 1st Shift/Days