Staff Analytics Engineer
US, CA, San Jose, Rio Robles
Full Time Senior-level / Expert USD 149K - 205K
Analog Devices
Analog Devices is a global leader in the design and manufacturing of analog, mixed signal, and DSP integrated circuits to help solve the toughest engineering challenges.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 experience on all aspects of data analysis, data provisioning, Data modeling.
- Design, implement and operate large scale, high volume, high performance data structures for Analytics
- Experience building on atleast one of the cloud technologies (AWS, GCP, Azure, Snowflake, Databricks)
- 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
- Pursuing Degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
- Broad expertise and understanding of distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
- Deep understanding of Python, SQL, database design, and master data strategies.
- A confident peer influencer with strong communication skills who quickly establishes credibility and is capable of working with cross-functional teams.
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: Yes, 10% of the time
Shift Type: 1st Shift/DaysThe expected wage range for a new hire into this position is $149,500 to $205,563.
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.
Tags: Airflow Architecture AWS Azure Computer Science Dagster Data analysis Data Analytics Databricks Distributed Systems Engineering GCP Kafka Kubernetes Python Security Snowflake SQL Streaming
Perks/benefits: Health care Salary bonus
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