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Analog Devices

Compare

4.1

based on 87 Reviews

2 Analog Devices Data Engineer Jobs

Data Engineer

Analog Devices

4.1

based on 87 Reviews

3-4 years

₹ 25 - 25L/yr (AmbitionBox estimate)

Bangalore / Bengaluru

1 vacancy

Data Engineer

Analog Devices

posted 1mon ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Python Healthcare Automation Testing Data Structures and Algorithms Data Modeling

+ 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 .

Gather business and functional requirements and translate into robust scalable, solutions aligned to the Data Architecture guidelines
Hands on development work on all aspects of data analysis, data provisioning, Data modeling, performance tuning and optimization
Design, implement and operate large scale, high volume, high performance data structures for Analytics
working knowledge of Spark, Presto, Hive, SQL and Python
Experience building on atleast one of the cloud technologies (AWS, GCP, Azure, Snowflake, Databricks)
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.

Qualifications

5+ years of experience in software engineering, including 2+ 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.
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 is capable of leading cross-functional technical teams.