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Technical Lead, Data Engineering Solutions

Telangana, India (On-site)

Technical Lead, Data Engineering Solutions

2 Hours ago • 5 Years + • Data Analyst

About the job

4 skills required for this role

Add these skills to join the top 1% applicants for this job

java

python

sql

networking

Job Description

The Technical Lead, Data Engineering Solutions at Google's Connected Data and Analytics (CDNA) team will deliver data, reporting, and analytics solutions for Googlers. Responsibilities include creating and maintaining database designs, ensuring data integrity and security, partnering with internal teams to improve business processes, integrating third-party products, and maintaining development practices (design, development, testing, issue resolution, code writing). The role requires 5+ years of data management experience as a lead, proficiency with data management tools (pipelines, databases, storage), and SQL. Preferred qualifications include experience with advanced analytics, Kafka/BQ Spanner, Java/Python, and knowledge in domains like Finance or Supply Chain.

Must have:

5+ years data engineering lead experience
Data management tools & technologies expertise
Data integration and system integration skills
SQL pipelines and database design proficiency
Deliver data solutions for Google's needs

Good to have:

Experience with advanced analytics (ML, statistical)
Kafka or BQ Spanner experience
Java or Python programming skills
Knowledge in Finance, Supply Chain, or HR

Minimum qualifications:

Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
5 years of experience in data management as a data engineering lead.
5 years of experience with data management tools and technologies including data pipelines frameworks, database engines, and file and object stores.
Experience with data management, data integration, data domain, system integration, distributed databases, SQL pipelines, SQL.

Preferred qualifications:

Experience working with advanced analytics solutions involving machine learning and statistical analytics.
Experience with Kafka or BQ Spanner.
Experience in Java or Python programming.
Knowledge in one or more domains across Finance, Supply Chain, HR etc.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Connected Data and Analytics (CDNA) team under Enterprise Data and Engineering is responsible for Data Architecture, Data Engineering, and Reporting and Analytics technologies that empower our partners in engineering and business to deliver critical corporate functions.

At Corp Eng, we build world-leading business solutions that scale a more helpful Google for everyone. As Google’s IT organization, we provide end-to-end solutions for organizations across Google. With an inclusive mindset, we deliver the right tools, platforms, and experiences for all Googlers as they create more helpful products and services for everyone. In the simplest terms, we are Google for Googlers.

Responsibilities

Deliver solutions to meet the data, reporting, and analytics needs of Googlers. Drive impact projects to deliver data management and analytical solutions for our partners across Google.
Create and maintain logical and physical database designs.
Ensure the integrity of data under the purview of the projects, including establishing security procedures to protect and maintain the level of confidentiality and data security.
Partner with internal teams to define and implement solutions that improve internal business processes.
Integrate third-party products with internal systems.
Maintain levels of development practices including: technical design, solution development, systems configuration, test documentation/execution, issue identification and resolution, writing clean, modular and self-sustaining code.

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About The Company

Google

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A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.