Data Analytics (GCP)

Tata Consultancy Services; Gandhinagar, Indore District, Chennai District; Vor Ort; INR 2.000.000 - 3.500.000; Vollzeit

Zusammenfassung

Tata Consultancy Services seeks an experienced Google Cloud Data Analytics engineer to lead complex data pipeline challenges in Looker Studio and Looker Cloud environments. You will optimize BigQuery and Dataflow, troubleshoot pipelines, and own end-to-end incidents, collaborating with stakeholders across multiple teams.

We value strong Python/SQL scripting, IAM/VPC expertise, and experience with CI/CD and IaC to implement scalable, reliable data architectures on GCP.

Qualifikationen

• Strong experience with Looker Studio/Looker Cloud and BigQuery in Google Cloud.
• Hands-on with data pipelines, logs, and performance tuning.

Aufgaben

• Act as go-expert for customer issues, provide RCA workarounds and best practices.
• Own and resolve complex issues for Google Cloud Data Analytics products like BigQuery, Dataflow, Pub/Sub, and Storage.
• Deep dive into logs, query plans, and pipeline failures to identify root causes.
• Troubleshoot data pipeline failures, latency, quotas; monitor system health and job failures.
• Own incidents end-to-end: triage, RCA, resolution, and stakeholder communication.
• Design highly available scalable data architectures in GCP and implement robust error handling.
• Explain technical concepts clearly to both technical and non-technical stakeholders.

Kenntnisse

Looker Studio

Looker Cloud

BigQuery

Dataflow

Pub/Sub

Apache Beam

Airflow

Python

SQL

Shell scripting

CI/CD

Git

IaC

IAM

VPC

Cloud Monitoring

Cloud Logging

Tools

Terraform

Cloud Composer

Jobbeschreibung

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.