Support and troubleshoot production GCP data pipelines across batch and streaming workloads. Diagnose failures, latency, performance, and configuration issues; optimize pipelines for reliability and faster refreshes; support platform upgrades and compliance; and collaborate with Data Engineering, BI, and application teams. The role requires hands-on GCP, SQL, Python, BigQuery, Spanner, Dataflow, Pub/Sub, IAM, monitoring, logging, and production support experience.
This is a remote position.
Support production of GCP data pipelines and workflows across batch and streaming workloads.
Troubleshoot failures, data latency, performance and configuration issues.
Work with Cloud Spanner, BigQuery, Dataflow, Pub/Sub and related GCP services.
Optimize existing pipelines to improve data refresh times and reliability.
Support platform/configuration upgrades and ensure environments remain compliant.
Work with Data Engineering, BI and application teams on production issues and enhancements.
Quickly understand existing systems and make practical improvements.
Requirements
3–7 years of Data/Cloud Engineering experience with hands-on GCP.
Strong SQL and Python skills.
Experience with Spanner, BigQuery and batch/streaming pipelines.
Good understanding of GCP IAM, monitoring, logging and production support.
Strong troubleshooting mindset and ability to ramp up quickly in a complex environment.
Exposure to Tableau/Looker, App Engine or AI/LLM applications is a plus.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Troubleshoots, dismantles, repairs, adjusts, assembles, and rebuilds electro-mechanical manufacturing equipment. Uses testing and diagnostic tools to identify equipment problems, follows blueprints and repair manuals, and performs equipment modifications as directed by engineers. Partners with team members to monitor data, improve critical metrics, and apply Generative AI insights where appropriate.
Top Skills:
Electro-Mechanical Manufacturing EquipmentGenerative AiTest And Diagnostic Equipment
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead mechanical design reviews and coordination for large-scale semiconductor/pharma cleanroom facilities. Perform HVAC, exhaust, utility and piping analyses, CFD review, pipe stress and vibration checks, equipment specification and procurement support, clash detection, BIM coordination, and technical oversight during construction to ensure compliant, energy-efficient mechanical systems and on-time project delivery.
Top Skills:
AutocadBimBim 360ClaudeComputational Fluid Dynamics (Cfd)CopilotGen-Ai (ChatgptLlms)NavisworksP&Ids
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Develop and support NAND and SSD products through AI-assisted product bring-up, high-volume manufacturing, failure analysis, yield improvement, and data analysis. Troubleshoot customer returns, develop test flows and validation plans, qualify products for multiple customers, and lead cross-functional resolution of qualification and component issues.
Top Skills:
Artificial IntelligenceNandPcieSASSataSsd
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
