Technical Solutions Data Engineer, Data and Analytics presso Google
Google · Hyderabad, India · Onsite
- Professional
- Ufficio in Hyderabad
Minimum qualifications:
- Bachelor’s degree in Computer Science, Engineering, Information Systems, a related quantitative field, or equivalent practical experience.
- 3 years of experience in a Data Engineering, Data Infrastructure, or Data Analytics role.
- Experience with data engineering and writing software in Python or SQL.
- Experience in managing and maintaining data projects from conception to production.
Preferred qualifications:
- Experience in technical consulting.
- Experience in working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting or investigative tools and environments.
About the job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.In this role, you will be designing and building the next generation of the data infrastructure. You will be responsible for architecting, implementing, and optimizing data pipelines, moving basic development to own key components of the data warehouse. You will be a technical expert who can manage datasets, write efficient SQL and Python codes, and collaborate with executive stakeholders and other engineers. You will build data foundations, AI-motivated insights solutions and help to define the standards and best practices that elevate the entire team with driving data quality and AI-readiness initiatives.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Lead the design, development, and maintenance of data pipelines and Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) processes for the centralized data warehouse.
- Architect and optimize SQL queries for data transformation, analytics, and reporting.
- Develop and manage data foundations and models specifically designed to support Artificial Intelligence/Machine Learning (AI/ML) initiatives and the generation of AI-motivated insights. Develop and maintain data infrastructure to support the data foundations.
- Partner with executive business stakeholders, data scientists, and Artificial Intelligence (AI) teams to understand requirements, architect data solutions.
- Collaborate with other data engineers to deliver data solutions and promote technical growth within the team.
