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Tencent
Palo Alto, CA, United States
Work Mode: Onsite Responsibilities: Tencent is a world-leading internet and technology company that develops innovative products and services to improve the quality of life of people around the world. Founded in 1998 with its headquarters in Shenzhen China, our guiding principle is to use technology for good. We are not only a major video game
Job Source: TencentAnalog Devices
San Jose, CA, United States
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 rel
Job Source: Analog DevicesGeneral Motors
Mountain View, CA, United States
Description Work Arrangement Remote OR Hybrid This role is based remotely but if you live within a 50-mile radius of Roswell, GA, Austin TX, Mountain View, CA, or Warren, MI, you are expected to report to that location three times a week, at minimum The Role The Sr Data Engineer role is responsible for designing, developing, and maintaining data
Job Source: General MotorsHarness Inc
Mountain View, CA, United States
Harness is a high-growth company that is disrupting the software delivery market. Our mission is to enable the 30 million software developers in the world to deliver code to their users reliably, efficiently, securely and quickly, increasing customers’ pace of innovation while improving the developer experience. We offer solutions for every step of
Job Source: Harness IncIllumio
Sunnyvale, CA, United States
On-site work model with 5 days in office/week in Sunnyvale, CA Targeted hire date of February 1, 2024 About the Team: Illumio's new Machine Learning (ML) team embodies a culture of thought leadership, independence, and responsibility, holding a significant and highly visible role within our Engineering division. This dynamic team is tasked with d
Job Source: IllumioCavnue
Mountain View, CA, United States
We believe that the future of transportation is automated. Automated travel will be safer, more comfortable, more efficient and a powerful economic enabler for our communities. However, automating driving is a massively complex engineering challenge, requiring vehicles to navigate social norms, regional traffic patterns, unpredictable weather inci
Job Source: CavnueTrackonomy Systems
San Jose, CA, United States
Join the Trackonomy Team! At Trackonomy, our employee value proposition champions your growth through varied responsibilities and a commitment to innovation. Join us to evolve professionally in a company that reshapes both industries and individuals. Connection & Community: You're essential to Trackonomy's mission, and every team member is regar
Job Source: Trackonomy SystemsBill.com
San Jose, CA, United States
Do the best work of your career, helping businesses change the way they manage finances. BILL is a leader in financial automation software for small and midsize businesses (SMBs). As a champion of SMBs, we are dedicated to automating the future of finance so businesses can thrive. Hundreds of thousands of businesses trust BILL solutions to manage
Job Source: Bill.comMountain View, CA, United States
Sam's Cash Core Team is looking for a savvy Data Engineer to join our growing team of analytics experts. The role will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our data architecture to support our next generation of products and data initiatives.
Responsibilities for Data Engineer
•Create and maintain optimal data pipeline architecture for data intensive applications.
•Assemble large, complex data sets that meet functional / non-functional business requirements.
•Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
•Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure SQL, Cosmo DB, Databricks and other legacy databases.
•Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
•Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
•Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
•Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
•Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
•Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
•Extensive Experience on Databricks on Azure Cloud platform, deep understanding on Delta lake, Lake House Architecture.
•Programming experience on Python, Shell scripting, PySpark, and other data programming language.
•Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
•Strong analytic skills related to working with Data Visualization Dashboard, Metrics and etc.
•Build processes supporting data transformation, data structures, metadata, dependency and workload management.
•A successful history of manipulating, processing and extracting value from large disconnected datasets.
•Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
•Familiar with Deployment tool like Docker and building CI/CD pipelines.
•Experience supporting and working with cross-functional teams in a dynamic environment.
•8+ years' experience in software development, Data engineering, and
•Bachelor's degree in computer science, Statistics, Informatics, Information Systems or another quantitative field. Postgraduate/master's degree is preferred.
•Experience in Machine Learning and Data Modeling is a plus.
Required Skills : Tech stack requirements: •High level Databricks experience •Python, bash, or shell scripting •Experience architecting data pipelines and providing strategy/guidance on how to build from scratch •SQL queries and building dashboards and reports (Databricks visualization preferred but ok with Tableau or PowerBI) Location: 2 days/week on site in Sunnyvale, CA or San Bruno, CA
Basic Qualification :
Additional Skills :
Background Check :Yes
Drug Screen :Yes
Notes :
Selling points for candidate :
Project Verification Info :
Candidate must be your W2 Employee :Yes
Exclusive to Apex :Yes
Face to face interview required :No
Candidate must be local :No
Candidate must be authorized to work without sponsorship ::No
Interview times set : :No
Type of project :Development/Engineering
Master Job Title :Data Analyst
Branch Code :San Francisco
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Email Alert for Senior Data Engineer jobs in Mountain View, CA, United States
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