Company Overview

At Google Operations Center, we provide caring and knowledgeable support for Google users and customers. Our teams assist with troubleshooting product issues and offer around-the-clock advertiser assistance to help users and customers solve problems and achieve their goals. With over 5001-10000 employees, our headquarters are located in Hyderabad, and we operate in the IT Services and IT Consulting industry. For more information, visit our website.

Job Overview

Join Google Operations Center as a Senior Data Engineer at our Bengaluru office. We’re seeking a mid-level professional with 4 to 6 years of experience. This full-time position requires strong proficiency in SQL, Data Engineering, and ETL processes. You'll play a critical role in handling data and providing insights to optimize operations and decision-making.

Qualifications and Skills

• Proven experience with SQL, enabling effective data querying and manipulation to support business needs (Mandatory skill).
• Extensive knowledge and hands-on experience in Data Engineering to design and manage complex data architectures (Mandatory skill).
• Proficiency in ETL processes and tools for efficient data extraction, transformation, and loading tasks (Mandatory skill).
• Strong programming skills in Python for developing efficient data processing solutions, enhancing performance and automation.
• Experience in Business Intelligence to design and develop data visualizations and reporting solutions that provide actionable insights.
• Proficiency in Data Analytics to interpret complex datasets and support strategic business decisions.
• Hands-on experience with pyspark for processing and analyzing large datasets in distributed computing environments effectively.
• Understanding of Big Data technologies and platforms, enabling scalable and efficient data management and processing solutions.

Roles and Responsibilities

• Design, develop, and maintain robust data pipelines to collect, process, and transform data from various sources.
• Collaborate with cross-functional teams to identify data needs and deliver data-driven insights to support business strategies.
• Implement advanced data engineering practices to ensure data quality, integrity, and reliable access for analytics and decision-making.
• Optimize and scale data infrastructure to meet growing business requirements and improve system performance.
• Develop and enhance business intelligence solutions to provide stakeholders with timely and actionable insights.
• Maintain up-to-date knowledge of emerging data engineering technologies and best practices to ensure the organization stays at the forefront of innovation.
• Support data governance and security measures to safeguard sensitive information and comply with regulations and standards.
• Create and maintain comprehensive documentation of data engineering processes, standards, and systems for internal and external stakeholders.