Unlock Your Future: Exciting Google Data & Analytics Job Openings for 2025!

As we step into 2025, the demand for skilled professionals in data and analytics continues to soar, making it the perfect time to explore lucrative career opportunities at one of the world’s leading tech giants, Google. With an unwavering commitment to innovation and excellence, Google is on the lookout for talented individuals to join their Data & Analytics team in Hyderabad, Telangana. If you possess a background in Computer Science, Engineering, or Information Systems, and have experience in data engineering with proficiency in Python or SQL, this could be your chance to make a significant impact in the tech industry. Read on to discover the key details of this exciting position and how you can contribute to Google’s mission of transforming businesses through data-driven insights.

Key Job Details

• Job Title: Technical Solutions Data Engineer, Data and Analytics
• Location: Hyderabad, Telangana, India
• Salary Package: As per Company Standards
• Employment Type: Full Time
• Education Requirement: Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
• Experience Required: 3 years in Data Engineering, Data Infrastructure, or Data Analytics role
• Date Posted: November 18, 2025

About the Role

In the role of Technical Solutions Data Engineer, you will play a pivotal part in designing and building the next generation of Google’s data infrastructure. Your responsibilities will include architecting, implementing, and optimizing data pipelines that enhance the overall efficiency of data processing. You’ll be tasked with moving projects from their basic development phase to fully functional and impactful components of the data warehouse. Your expertise in managing datasets and writing efficient SQL and Python code will be critical as you collaborate with executive stakeholders and fellow engineers. This position not only allows you to build data foundations and AI-driven insights solutions but also empowers you to set the standards and best practices that will elevate the entire team’s efforts in driving data quality and readiness for AI initiatives.

Required Skills

• Data Engineering Expertise: Strong experience in data engineering and data infrastructure management, ensuring smooth data flow and accessibility.
• Programming Proficiency: Proficient in writing efficient software in Python and SQL, essential for data manipulation and analysis.
• Project Management: Ability to manage and maintain data projects from conception to production, demonstrating excellent organizational skills.
• Technical Consulting Experience: Background in providing technical guidance and solutions in data-centric environments.
• Data Warehouse Knowledge: Familiarity with data warehouse architectures, ETL/ELT processes, and reporting tools.

Responsibilities

• Data Pipeline Development: Lead the design, development, and maintenance of data pipelines and ETL processes for the centralized data warehouse.
• SQL Optimization: Architect and optimize SQL queries for data transformation, analytics, and reporting, enhancing data retrieval efficiency.
• AI/ML Initiatives: Develop and manage data foundations specifically tailored to support AI/ML initiatives, fostering innovative solutions.
• Collaboration: Work closely with executive stakeholders, data scientists, and AI teams to understand requirements and deliver data solutions.
• Team Promotion: Collaborate with other data engineers to foster technical growth within the team, sharing knowledge and best practices.

Why Join Google?

Joining Google means being part of a company that values innovation, diversity, and growth. With access to cutting-edge technology and resources, employees are empowered to explore new ideas and push boundaries. Google fosters a collaborative culture where teamwork and individual contributions are celebrated, providing ample opportunities for professional development. Additionally, the comprehensive benefits package ensures that employees are well-supported both personally and professionally, creating a healthy work-life balance.

Industry Trends

The data analytics field is evolving rapidly, with organizations increasingly relying on data-driven insights to make informed decisions. As businesses continue to digitize their operations, the demand for skilled data professionals is expected to grow exponentially. This position at Google not only offers the chance to work at the forefront of technology but also positions you as a valuable contributor to the future of AI and machine learning initiatives. As more industries recognize the importance of data, this role becomes increasingly vital in shaping the landscape of business intelligence.

How to Apply

If you are ready to take the next step in your career and join Google as a Technical Solutions Data Engineer in the Data and Analytics team, don’t wait any longer! Click the button below to start your application process.

Apply Here