Company Overview

Google Operations Center is dedicated to delivering caring and insightful support to Google users and customers, assisting them in troubleshooting product issues and providing on-demand advertiser assistance. With a workforce between 5001-10000 employees, our headquarters are located in Hyderabad. We operate within the IT Services and IT Consulting industry, and our mission is to help Google users and customers solve problems efficiently and achieve their objectives.

Job Overview

The Data Engineering Specialist role at Google Operations Center is a mid-level, full-time position located in Bangalore Urban, Bengaluru, Bangalore. We seek experienced professionals with a minimum of 4 years to a maximum of 6 years of relevant work experience. This role demands expertise in data engineering, analytics, and visualization to support our mission of delivering exceptional support to Google users.

Qualifications and Skills

• Extensive knowledge and experience in SQL, Data Engineering, and Data Visualization (Mandatory skill).
• Proficiency in Python for effective data analysis and manipulation, with a focus on automation and performance.
• Experience with ETL processes, ensuring smooth data integration from various sources to meet the organizational needs.
• Strong understanding of Big Data Technologies to handle large and complex data sets efficiently.
• Demonstrated capability in Data Warehousing solutions to design and implement scalable and maintainable data storage.
• Expertise in Data Pipeline Development to facilitate the continuous movement and transformation of data across systems.
• Ability to solve complex data problems through analytics and algorithmic approaches in a result-oriented manner.
• Strong communication skills to collaborate effectively with cross-functional teams and convey technical concepts to non-technical stakeholders.

Roles and Responsibilities

• Design, develop, and maintain scalable data pipelines that drive insight and analysis across business processes.
• Collaborate with business stakeholders to gather requirements, analyze data needs, and make data-driven decisions.
• Ensure the reliability and efficiency of data architecture and data integration solutions.
• Identify, design, and implement internal process improvements to reduce manual work and optimize data delivery.
• Monitor and enhance performance through predictive analytics and data visualizations to amplify user experience.
• Generate and maintain accurate data documentation to ensure data integrity and consistency across platforms.
• Liaise with teams to enhance data quality and support strategic and operational decisions through data insights.
• Stay current with emerging technologies and industry trends to continually grow and apply your expertise within the organization.