Staff Engineer, BigQuery Data Integration

8 - 12 years

0 Lacs

Posted:3 weeks ago| Platform: Shine logo

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On-site

Job Type

Full Time

Job Description

Role Overview: In this role, you will be working on solving problems and designing solutions that facilitate data migrations on a large scale, from petabytes to exabytes per day. Your main focus will be to accelerate customers" journey towards Business Intelligence (BI) and Artificial Intelligence (AI) by delivering multiple products to external Google Cloud Platform (GCP) customers. Your work will involve simplifying data processing needs and delivering enterprise-grade solutions using cutting-edge technology and tools. Key Responsibilities: - Design and develop software for Data Warehouse migration, with a focus on cloud-native and distributed systems. - Collaborate with Product and Engineering Managers to define the technical strategy for data migration and develop new connectors. - Provide technical guidance and mentorship to the team, ensuring quality in design and code reviews. - Take ownership of delivering new features, manage project priorities, and meet deadlines for a high-quality launch. - Engage with cross-functional partners, including Google Cloud Platform (GCP) infrastructure teams, to create and deliver integrated solutions. Qualifications Required: - Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience. - 8 years of experience in software development in one or more general-purpose programming languages. - Experience in one or more programming languages such as Java, C/C++, Python, or Go. - Experience in systems engineering, designing and building distributed processing systems using languages like Java, Python, or Scala. - Experience in data warehouse design, developing and managing enterprise data warehouse solutions. - Experience in data analytics, leveraging data systems to provide insights and collaborate in business decisions. - Familiarity with modern Open Source Technologies in the big data ecosystem, including frameworks like Apache Spark, Apache Hive, and Apache Iceberg.,

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