GCP Data EngineerIntermediate
Infovision · Chennai · onsite · Posted 1d ago
Not disclosed3–7 yrsfulltimeSourced from
About a minute. You'll make an account on the way through.
About this role
- We are seeking a skilled GCP Data Engineer with 3 to 7 years of experience to join our growing data engineering team in Chennai/Hyderabad/Bangalore/Pune, focused on building and maintaining scalable cloud-based data pipelines and infrastructure on Google Cloud Platform.
- The ideal candidate will have hands-on expertise in GCP services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc
- Proficiency in leveraging Claude AI and other LLM-based tools for intelligent data transformation, automation of data workflows, and natural language query generation is highly desirable.
- Strong programming skills in Python are required for developing ETL/ELT pipelines, data ingestion scripts, and custom data transformation logic across batch and streaming workloads.
- Solid command of SQL is essential for writing complex queries, optimizing data models in BigQuery, and supporting analytics and reporting teams with structured data access layers.
- Candidates must have experience designing and implementing data lakehouse architectures, dimensional data models, and governance frameworks that ensure data quality, lineage, and security compliance.
- Experience working in agile development environments with CI/CD pipelines, version control using Git, and infrastructure-as-code tools such as Terraform for GCP resource provisioning is expected.
- Familiarity with data orchestration platforms such as Apache Airflow or Cloud Composer and monitoring tools like Cloud Logging and Cloud Monitoring will be considered a strong advantage.
Roles & Responsibilities
- Design, develop, and optimize end-to-end data pipelines on GCP using BigQuery, Dataflow, Cloud Composer, and Pub/Sub to support real-time and batch data processing requirements.
- Integrate multi-cloud data sources across GCP and AWS(nice to have) environments, ensuring seamless data movement, transformation, and availability for downstream analytics and machine learning teams.
- Utilize Claude AI and generative AI tools to automate data catalog creation, generate SQL queries from natural language inputs, and enhance the efficiency of data operations workflows.
- Write and maintain high-quality Python scripts for data ingestion, transformation, and pipeline orchestration, ensuring code is modular, well-documented, and production-ready.
- Develop and maintain complex SQL queries and stored procedures in BigQuery to support business intelligence dashboards, ad hoc analysis, and scheduled reporting pipelines.
- Collaborate with data architects, analysts, and ML engineers to translate business requirements into robust data models and ensure data accuracy, freshness, and consistency across the platform.
- Monitor and troubleshoot data pipeline failures, performance bottlenecks, and data quality issues using GCP-native observability tools and proactively implement preventive measures.
- Participate in code reviews, contribute to data engineering best practices, and mentor junior team members to uphold high engineering standards across the data platform.
Sourced from foundit
Skills
TerraformCloud Monitoringclaude aigoogle cloud platformCloud Storageapache airflowbigqueryCloud ComposerCloud LoggingDataprocGoogle DataFlowLLM-based toolsGoogle Cloud Pub SubPythonSQLGITCi/Cd
About Infovision

Infovision
IT Services & Consulting
3k+
employees
1995
31 years old
Pune, Maharashtra
US
₹11.6L PA avg
Avg at Infovision
About
Infovision delivers IT services focused on enterprise digital transformation, aiding companies in optimizing processes and enhancing customer experiences across multiple business sectors.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
10 reviews
3.4/ 5
Culture
3.4
Career growth
3.0
Work-life
3.9
Employees rate it well for
Work-Life Balance36Compensation & Benefits35
Find them on