41 jobs for "Snowflake Data Engineer - Ads"

Database Engineering Associate - Snowflake Developer

At DTCC - Hyderabad · Chennai

Posted on Oct 31

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Operations Data Engineer

At Apple - Austin

Posted on Oct 17

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Data Engineer, Aladdin Data, Associate

At BlackRock - Mumbai

Posted on Nov 6

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Senior Staff Platform Engineer

At The Hartford - Hartford

Posted on Nov 7

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Data Engineer 5

At Capital One - McLean · Wilmington

Posted on Nov 7

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Analytics & Solutions Engineer

At Northwestern Mutual – Corporate Careers - Milwaukee

Posted on Nov 2

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Staff Software Engineer (Applied AI)

At Apple - Cupertino

Posted on Oct 19

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Lead Data Engineer

At Mastercard - Arlington

Posted on Oct 20

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Software Engineer

At Nike - Beaverton

Posted on Nov 3

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Senior Staff Platform Engineer

At The Hartford - Charlotte

Posted on Nov 7

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Vice President

At BlackRock - San Francisco

Posted on Nov 1

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Senior Data Engineer, Global Converse, ITC

At Nike

Posted on Nov 2

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Software Engineer (Applied AI)

At Apple - Cupertino

Posted on Oct 19

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Data Engineer 5, Insights Platform

At Capital One - Plano

Posted on Nov 7

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IND Staff Engineer, Data

At The Hartford - Hyderabad

Posted on Nov 6

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Data Engineer 4 (Manager, IC)-EDT

At Capital One - McLean · Richmond

Posted on Nov 6

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Business Intelligence Engineer

At DTCC - Hyderabad

Posted on Oct 29

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Data Engineer, Aladdin Data, Associate

At BlackRock - Mumbai

Posted on Nov 6

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Data Engineer - Assistant Vice President

At iCapital - Salt Lake City

Posted on Nov 4

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Software Engineering Applications

At Apple

Posted on Oct 15

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Apple

Software Engineering Applications

Posted 24 days ago

Apply on company site View full job

Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

Ratings are based on anonymous reviews by Fairygodboss members. See all reviews ›

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a data engineer to support customer analytics with advanced, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science.

Description
Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics
Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance and availability
Experience in building and maintaining custom frameworks to support engineering/analytics needs
Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.
Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems @ scale.
Experience in building data pipelines in Spark, Trino, lakehouse or similar distributed platforms & Snowflake.
Deploy inclusive data quality checks to ensure high quality of data.
Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.
Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities
Communication Strong documentation and technical writing skills.
Attention to detail and effective verbal/written communication skills.

Preferred Qualifications
Snowflake knowledge is a plus..
3+ years of experience in data engineering and ETL pipeline development
2+ years of experience in Big Data Technologies (Spark,Lakehouse,Trino)
Experience on Kubernetes, Docker preferred.
Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs
Experience with creating and consuming Model Context Protocol (MCP) services

Minimum Qualifications
3+ years of relevant Data Engineering experience
Undergraduate degree in Computer Science, MIS, Engineering, Mathematics or other quantitative discipline required.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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