Home
Communities
Companies
- Companies
  
  Discover best places to work
- Compare Companies
  
  Compare & find best workplace
- Add Office Photos
  
  Bring your workplace to life
- Add Company Benefits
  
  Highlight your company's perks
Reviews
- Company reviews
  
  Read reviews for 6L+ companies
- Write a review
  
  Rate your former or current company
Salaries
- Browse salaries
  
  Discover salaries for 6L+ companies
- Salary calculator
  
  Calculate your take home salary
- Are you paid fairly?
  
  Check your market value
- Share your salary
  
  Help other jobseekers
Interviews
- Company interviews
  
  Read interviews for 40K+ companies
- Campus placements
  
  Interviews questions for 1K+ colleges
- Share interview questions
  
  Contribute your interview questions
Jobs
Awards

RATE NOW!
- ABECA 2025
  
  RATE NOW!
  
  AmbitionBox Employee Choice Awards - 4th Edition
- ABECA 2024
  
  AmbitionBox Employee Choice Awards - 3rd Edition
- AmbitionBox Best Places to Work 2022
  
  2nd Edition
- AmbitionBox Best Places to Work 2021
  
  1st Edition

Add office photos

Employer? Claim Account for FREE

Analog Devices

Compare

4.1

based on 87 Reviews

70 Analog Devices Jobs

Principal Data Engineer

Analog Devices

4.1

based on 87 Reviews

6-11 years

Bangalore / Bengaluru

1 vacancy

Principal Data Engineer

Analog Devices

posted 7d ago

Job Role Insights

Flexible timing

Key skills for the job

Medical Coding Data Analysis Data Analytics Python SQL Healthcare

+ 3 more

Job Description

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 .

As a Principal Data Engineer, you will be responsible for leading the design, development, and implementation of advanced data solutions that support our enterprise-wide data strategy. This role involves driving the architecture, development, and optimization of a scalable, secure data platform that powers advanced analytics and data-driven decision-making across the organization. The successful candidate will be instrumental in shaping the data ecosystem, providing thought leadership, and mentoring a team of skilled data engineers.

Responsibilities

Lead the design and development of the data platform, ensuring it meets current and future business needs. Architect data models, storage, and processing solutions that balance performance, scalability, and maintainability.
Perform hands-on development work on data analysis, data provisioning, data modeling, performance tuning, and optimization.
Perform design and development in technologies like Fivetran, Snowflake, DBT, Python, SQL, Spark, Kubernetes, Kafka and utilize cloud technologies like Azure, AWS, and GCP.
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.
Define and enforce best practices for data engineering, including coding standards, source control, and CI/CD processes to minimize technical debt and ensure high-quality code deployments.
Create dashboards using enterprise tools such as Tableau and PowerBI.
Experience in vector, graph and NoSQL databases for complex data use-cases.
Ensure the reliability, performance, and security of data platforms and solutions.
Provide technical guidance and support to team members, fostering a culture of collaboration, innovation, and continuous improvement.
Work closely with business unit leaders, data scientists, and analysts to understand their requirements and translate them into robust technical solutions on the Enterprise Data Platform.
Implement data governance practices, ensuring data security, compliance, and quality controls, especially when handling sensitive or high-risk data.
Scope key business challenges, identify the right data, and provide direction to data analysts, product managers, data scientists, and data engineers.
Drive innovation by creating new frameworks, standards, prototypes, and automation projects.
Stay current with emerging trends and technologies in data engineering and analytics, driving the adoption of new tools and technologies.

Qualifications:

Bachelor s or master s degree in computer science, Engineering, or a related field.
15+ years of experience in data engineering, with a focus on designing and implementing large-scale data solutions.
Proven experience in a lead role, capable of driving projects and collaborating with cross-functional teams.
Strong proficiency in SQL, Python, big data technologies (Hadoop, Spark, Presto, Hive), containerization (Kubernetes), and cloud technologies like Snowflake, DBT, Dagster, etc.
Experience designing, building and maintaining frameworks to handle large data volumes, streaming data use-cases using technologies like Kafka, to handle IOT / sensor/edge device data.
Experience building on at least one of the cloud technologies (AWS, GCP, Azure).
Deep understanding of data modeling, ELT processes, medallion architecture, open file formats and data integration techniques.
Outstanding communication and interpersonal skills, with the ability to engage effectively with technical and non-technical stakeholders.
Strong problem-solving skills and a proactive approach to identifying and addressing challenges.
Strong Knowledge of data governance, security, and compliance best practices.