Data Engineer, Analytics and Data Science, YouTube

You must Sign In before continuing to the company website to apply.

Smart SummaryPowered by Roshi

As a Data Engineer at YouTube Analytics and Data Science, you will collaborate with a team of analytics professionals on data pipelines, tools for content analysis, and business reporting. Responsibilities include requirements gathering, data architecture design, ETL pipeline optimization, and ensuring data integrity and governance.

Minimum qualifications:

Bachelor's degree in a quantitative field (e.g., Statistics, Computer Science, Math, Physics, Engineering), or equivalent practical experience.
1 year of experience in data engineering or business intelligence roles.
Experience with relational databases, including SQL queries, database definition, and schema design.
Experience with one or more programming languages (e.g., Python, Java, C++, etc.).

Preferred qualifications:

Master’s degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Math).
Experience with data warehouses, distributed data platforms, and data lakes.
Ability to navigate ambiguity and work in a fast-moving environment with multiple stakeholders.
Excellent business and technical communication, organizational, and problem-solving skills.
Excellent structured thinking skills, with the ability to break down multi-dimensional problems.

About the job

As a Data Engineer within YouTube Analytics and Data Science, you will be part of a community of analytics professionals who work on projects ranging from developing data pipelines that help run the business, and build tools to analyze the content partnerships and creator ecosystem that guide business leadership on the effectiveness of partner facing business teams.

The team uses SQL and YouTube’s ETL systems to produce useful datasets, establish best practices for data sets and reporting, and develop expertise in various data domains.

At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.

Responsibilities

Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs.
Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users.
Work with analysts to scale value-creating capabilities, including data integrations and transformations, model features, as well as statistical and machine learning models.
Drive standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses.
Engage with the analyst community, communicate with analysts to understand critical user journeys and data sourcing inefficiencies, advocate best practices, and lead analyst trainings.

Set alert for similar jobsData Engineer, Analytics and Data Science, YouTube role in Bengaluru, India

Company

Google

Job Posted

a year ago

Job Type

Full-time

WorkMode

On-site

Experience Level

0-2 Years

Related Jobs

Data Engineer, YouTube

Google

Bengaluru, Karnataka, India

Posted: 2 years ago

Join the YouTube Business Strategy and Operations team to drive go-to-market functions and shape priorities for growth. We are looking for someone with data engineering and business intelligence experience to design and optimize data architecture, build ETL pipelines, and enable data-driven decision-making. Come work with a team that combines strategic thinking, operational skills, and a pragmatic approach to drive change and make an impact in a global organization.

Data Engineer-Data Analytics

Baker Hughes

Bengaluru, Karnataka, India

+4 more

Posted: 3 months ago

Data Engineer   Are you passionate to work with the team on commercially-facing development projects, typically involving large, complex data sets?   Are you interested in driving business analytics to a new level of predictive analytics while leveraging big data tools and technologies.   Join our Data Engineering Team!   The Data Engineering team helps solve our customers' toughest challenges; making flights safer, power cheaper, and oil & gas production safer for people and the environment by leveraging data and analytics. The Data Engineer will work with the team to create state-of-the-art data and analytics driven solutions, working across Baker Hughes to drive business analytics to a new level of predictive analytics while leveraging big data tools and technologies.   Partner with the best   As a Data Engineer, you will be part of a data engineering or cross-disciplinary team on commercially-facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in Baker Hughes business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.   As a Data Engineer, you will be responsible for:   Performing a variety of data loads & data transformations. Working knowledge of methods for parsing, formatting, & transforming data into units consistent with analytical needs. Demonstrating proficiency in implementation of logical/physical data models that support MDM best practices. Performing integration of multiple data source-formats into master data load. Being Proficient in the use of at least one ETL tool. Must have good communication skills - both oral and written Fuel your passion   To be successful in this role you will:   Have a Bachelors Degree with minimum of 2 years of working experience. Have Exposure to Scripting (Pig, Python, Perl, etc) experience Be able to translates analytics problems into data requirements. Be able to understands logical and physical data models, big data storage architecture, data modeling methodologies, metadata management, master data management, data lineage & data profiling. Be able to understand the technology landscape, up to date on current technology trends and new technology, brings new ideas to the team. Be able to demonstrated awareness of how to leverage curiosity and creativity to drive business impact Can ask follow-up questions when presented with new data/projects. Sees the broader implications of an idea. Be able to Presents new ideas and concepts. Makes connections among previously unrelated ideas. Have Deep passion for learning. Work in a way that works for you   We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:   Working remotely from home or any other work location Working with us   Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Intern, Data Science and Analytics

Carrier

Gurgaon, Haryana, India

Posted: 2 months ago

Role: Intern, Data Science and Analytics Location: Gurgaon Build a career with confidence Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the center of everything we do. About the role The Supply Chain Intern will assist in collecting, analyzing, and reporting supply chain metrics to support business objectives. They will collaborate with cross-functional teams, including sourcing, engineering, and quality, to ensure data accuracy and actionable insights. Key Responsibilities: As an intern, you’ll be responsible for: Supply Chain Reporting and Governance Assist in creating Power BI or Excel dashboards for supply chain metrics. Report key supply chain metrics, such as material productivity, savings, and payment term improvements, while ensuring follow-up actions. Provide analytical support to strategic sourcing teams on specific metrics and projects. Develop detailed Standard Operating Procedures (SOPs) documenting report logic and assumptions. Data Integrity and Automation Identify and recommend automation opportunities to improve reporting and team productivity. Utilize continuous improvement tools to streamline processes. Ensure data accuracy across digital reporting ecosystems and maintain consistency across multiple systems. Project Support Participate in portfolio initiatives and assist in executing supply chain projects. Support business units with specific projects as need Competencies & Service Delivery Requirements - Education : Students specialized in Operations/Mechanical/Electrical with knowledge and interest in Supply Chain Management preferred. Technical Skills : Proficient in Microsoft Office (Excel, Word, PowerPoint) for analytics and presentation Power BI understanding and certification preferred ERP knowledge (SAP/Oracle). Analytical Skills : Strong ability to break down data sets into meaningful interpretations; understanding of reporting and data integrity. Communication Skills : Business communication (verbal & written); good communication skills to understand requirements quickly and represent data as per business needs. Interpersonal Skills : Able to work in a global environment with stakeholders located in different regions; effective collaboration to meet shared goals. Learning & Adaptability : Flexible attitude with a willingness to learn new skills; high learning agility. Attention to Detail : Excellent eye for detail to identify and articulate problems accurately. Accountability : Demonstrates accountability in all tasks.

Data Analytics Apprenticeship, March 2025

Google

Hyderabad, Telangana, India

+3 more

Posted: 7 months ago

Join a 24-month Google Data Analytics Apprenticeship program to gain experience in data analysis and work with Google teams. You will assess data, solve problems, quantify business impact, and develop essential data analysis skills using programming languages and tools.

Data Engineer

Capgemini

Bengaluru, Karnataka, India

Posted: 8 months ago

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same. Job Description:                Expert knowledge in Python                Expert knowledge in popular machine learning libraries and frameworks, such as TensorFlow, Keras, scikit-learn.                Proficient understanding and application of clustering algorithms (e.g., K-means, hierarchical clustering) for grouping similar data points.                Expertise in classification algorithms (e.g., decision trees, support vector machines, random forests) for tasks such as image recognition                Natural language Processing and recommendation systems.                Proficiency in working with databases, both relational and non-relational like MySQL with experience in designing database schemas                And optimizing queries for Efficient data retrieval.                Strong knowledge in areas like Object Oriented Analysis and Design, Multi-threading, Multi process handling and Memory management.                Good knowledge model evaluation metrics and techniques.                Experience in deploying machine learning models to production environments.                Currently working in an Agile scrum team and proficient in using version control systems (e.g., Git) for collaborative development.  Primary Skill:              Excellent in Python Coding              Excellent in Communication Skills              Good in Data modelling, popular machine learning libraries and framework

Data Engineer

NatWest Group

Bengaluru, Karnataka, India

Posted: a month ago

Job description Join us as a Data Engineer This is an exciting opportunity to use your technical expertise to collaborate with colleagues and build effortless, digital first customer experiences You’ll be simplifying the bank by developing innovative data driven solutions, using insight to be commercially successful, and keeping our customers’ and the bank’s data safe and secure Participating actively in the data engineering community, you’ll deliver opportunities to support the bank’s strategic direction while building your network across the bank We're offering this role at associate level What you'll do As a Data Engineer, you’ll play a key role in driving value for our customers by building data solutions. You’ll be carrying out data engineering tasks to build, maintain, test and optimise a scalable data architecture, as well as carrying out data extractions, transforming data to make it usable to data analysts and scientists, and loading data into data platforms. You’ll also be: Developing comprehensive knowledge of the bank’s data structures and metrics, advocating change where needed for product development Practicing DevOps adoption in the delivery of data engineering, proactively performing root cause analysis and resolving issues Collaborating closely with core technology and architecture teams in the bank to build data knowledge and data solutions Developing a clear understanding of data platform cost levers to build cost effective and strategic solutions Sourcing new data using the most appropriate tooling and integrating it into the overall solution to deliver for our customers The skills you'll need To be successful in this role, you’ll need a good understanding of data usage and dependencies with wider teams and the end customer, as well as experience of extracting value and features from large scale data. You'll have experience of data warehouse and data lake projects and strong knowledge of data engineering tech stack like Spark architecture, SQL, Python, Pyspark. You'll also need a good understanding of cloud tech stack and AWS services like EMR, IAM, S3 and Devops like Ci/CD, gitlab, gitlab runners. You’ll also demonstrate: Experience of ETL technical design, including data quality testing, cleansing and monitoring, and data warehousing and data modelling capabilities Experience of using programming languages alongside knowledge of data and software engineering fundamentals Good knowledge of modern code development practices Strong communication skills with the ability to proactively engage with a wide range of stakeholders