GCP Data Analytics

Tata Consultancy Services; Gandhinagar, Indore District, Chennai District; Presencial; INR 1.200.000 - 1.800.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services in Gandhinagar, Gujarat, invites a seasoned data analytics engineer to join our Google Cloud practice. You will own complex issues in BigQuery, Dataflow, Pub/Sub, and other Cloud Data Analytics products, drive RCA, and implement robust monitoring and optimization, including Looker Studio integrations.

Strong Python/SQL/Shell scripting skills and experience with CI/CD and IaC are required to design scalable, reliable data pipelines and collaborate with customers and

Formación

• 5–7 years of hands-on experience in cloud data analytics and Google Cloud Platform.
• Expertise with Looker Studio/Looker Pro and BigQuery performance tuning.
• Strong debugging, root-cause analysis, and incident ownership.
• Proficiency in Python, SQL, and Shell scripting; familiarity with CI/CD, Git, IaC.
• Experience with IAM, VPC, and network/security concepts in GCP.

Responsabilidades

• Act as go-expert for customer issues and provide RCA/workarounds and best practices.
• Own and resolve complex issues for Google Cloud Data Analytics products like BigQuery, Dataflow, Pub/Sub.
• Deep dive into logs, query plans, and pipeline graphs to identify root causes.
• Troubleshoot data pipeline failures, latency issues, quota errors; monitor system health and job failures.
• Own incidents end-to-end: triage, RCA, resolution, and stakeholder communication.
• Use Cloud Logging/Monitoring to collect logs, metrics and traces; reproduce issues in test env; validate fixes.
• Design and implement highly available and scalable data architectures in GCP including cross-region DR and failover.

Conocimientos

Looker Studio

Looker Pro

Looker Cloud

BigQuery

Dataflow

Airflow

Python

SQL

Shell scripting

CI/CD

Git

IaC

IAM

VPC

Cloud Logging

Cloud Monitoring

RCA

Herramientas

Cloud Composer

Terraform

Cloud Trace

Descripción del empleo

Job Description:

5 to 7 Years of experience in Looker Studio,Original,Pro, Looker Cloud..

• Act as go-expert for customer issues, provide RCAworkarounds and best practices to customers and internal teams.
• Own and resolve complex issues for Google Cloud Data Analytics products like BigQuery,Storage, Airflow Composer, Dataflow, Pub/Sub.
• Deep dive into logs, query plans, job graphs and pipeline failures, toidentify root causes.
• Strong expertise in Troubleshoot data pipeline failures, latency issues, quota errors, Monitor system health and job failures.
• Exposure in configuring and managing network devices and services
• Own incidents end-to-end: triage, root cause analysis, resolution, and communication with stakeholders.
• Strong knowledge in IAM, VPC, storage, quotas, and GCP project setup. Experience with Python, SQL, and Shell scripting for troubleshooting. Familiarity with CI/CD, Git, and Infrastructure as Code.
• Strong analytical and problem-solving skills for production issues. Excellent communication skills to explain technical issues to both technical and non-technical stakeholders.
• Use Cloud Logging, Cloud Monitoring to collect logs, metrics and traces of debugging. Reproduce the customer issues in the test environment and validate fixes before roll out.
• Advanced knowledge of BigQuery performance tuning including materialized views, partitioning strategies, and clustering to optimize high-volume queries.
• In-depth experience with Apache Beam programming model for complex Dataflow transformations, including stateful processing and side inputs.
• Ability to design and implement highly available and scalable data architectures in GCP, including cross-region disaster recovery and failover strategies.
• Proficiency in advanced Airflow concepts, such as custom operators, dynamic DAG generation, and implementing robust error handling and alerting frameworks.
• Expert-level debugging of distributed systems, utilizing advanced tracing (Cloud Trace) and profiling techniques to identify bottlenecks in complex data pipelines.

• Diagnosing root causes and resolving technical issues across hardware, software, and networking systems.
• Delivering technical support to internal and external users via multiple communication channels.
• Provisioning and deprovisioning cloud infrastructure, including compute, storage, and networking components, as required.
• Articulating technical concepts clearly and effectively to stakeholders and end users.