Position Summary:
Driving advanced cloud data engineering, Google Cloud Platform (GCP) architecture, and large-scale big data processing in Chennai, Techedge Solution is actively seeking an accomplished GCP Engineer for a permanent full-time professional engagement. In this vital technical role, you will architect, build, and optimize high-performance data pipelines, cloud-native data warehouses, and streaming ingestion engines utilizing Google BigQuery, Pub/Sub, DataProc, and Dataflow. Bringing 5 to 10 years of progressive professional experience in cloud data engineering and advanced Python/SQL programming, you will empower global enterprise clients to achieve uncompromised data reliability, real-time analytics insight, and scalable infrastructure automation. This prestigious career opportunity offers competitive remuneration, high technical visibility, and professional growth within a premier global IT consulting and executive recruitment enterprise.
Detailed Job Description:
As a GCP Engineer supporting Techedge Solution on an on-site basis in Chennai, you will take full operational, tactical, and technical ownership of cloud data warehouse design, pipeline orchestration, data transformation, and performance tuning. Your day-to-day responsibilities include designing scalable analytics solutions using BigQuery, managing real-time event streaming with Pub/Sub, processing big data workloads via DataProc and Dataflow, authoring complex SQL queries and Python automation scripts, collaborating directly with multidisciplinary engineering squads, and interacting directly with technical recruitment leaders like Aruna Kriyanthi. Furthermore, you will manage application requirements by submitting your updated resume via direct email to Aruna Kriyanthi at Aruna.Kriyanthi@techedge-solution.com or via phone contact at 6385076195.
Key Responsibilities:
- Architect, design, develop, test, and deploy scalable cloud data engineering solutions and data pipelines on Google Cloud Platform (GCP).
- Design, manage, and optimize enterprise data warehouses, partitioning strategies, and materialized views utilizing Google BigQuery.
- Implement real-time data ingestion and event streaming architectures utilizing Google Cloud Pub/Sub messaging services.
- Build and maintain distributed big data processing and batch transformation jobs utilizing Google Cloud DataProc and Apache Spark.
- Develop robust stream and batch data processing pipelines utilizing Google Cloud Dataflow and Apache Beam frameworks.
- Author complex, high-performance SQL queries and Python scripts for data transformation, validation, and analytics automation.
- Collaborate seamlessly with data scientists, software developers, and cloud DevOps squads during agile sprint cycles.
- Maintain meticulous technical documentation, data lineage diagrams, pipeline runbooks, and performance audit logs.
Required Qualifications & Skills:
- Bachelor’s degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or related technical discipline.
- Minimum of 5 to 10 years of progressive professional hands‑on experience in software engineering, data engineering, and cloud architecture.
- Strong, demonstrable operational expertise in Google Cloud Platform (GCP) data services and cloud-native infrastructure.
- Comprehensive working knowledge and practical proficiency in Google BigQuery, Pub/Sub, DataProc, and Dataflow.
- Deep practical experience in advanced SQL querying, database tuning, and Python programming for data pipelines.
- Solid practical grasp of big data architectures, distributed computing principles, and ETL/ELT design patterns.
- Exceptional analytical problem‑solving aptitude, data modeling capabilities, and professional stakeholder communication skills.
- Mandatory legal work authorization and physical availability for professional operations in Chennai, India.
Nice-to-Have Skills:
- Professional GCP certifications such as Google Cloud Certified Professional Data Engineer or Google Cloud Certified Professional Cloud Architect.
- Hands‑on familiarity with infrastructure-as-code tools (Terraform) and containerization platforms (Docker, Kubernetes).
- Prior professional working experience in top‑tier multinational technology enterprises, financial institutions, or global IT consultancies.
- Experience utilizing enterprise IT service management and agile tracking platforms (Jira, Confluence) for sprint execution.
- Active participation in cloud data engineering communities, open-source data projects, or technical forums.
Application Information:
- Recruiter: Techedge Solution Recruitment Division
- Contact Name: Aruna Kriyanthi (HR Recruiter)
- Email: Aruna.Kriyanthi@techedge-solution.com
- Phone: 6385076195
- Company Website: https://www.techedge-solution.com
- Salary/Rate: Market Competitive / Enterprise Cloud Package
- Deadline: Open until filled (Urgent Chennai GCP Data Engineering Opening)
- Notice Period: Maximum 15 Days Preferred (Serving Notice Period Candidates Welcome)
- Contract Duration: Permanent / Full-Time On-Site Engagement (Chennai, India)
Recruitment Pro Tip:
When applying for this GCP Engineer position through Techedge Solution, ensure your resume explicitly highlights your BigQuery, Dataflow, and Python data engineering portfolio and confirms your ability to join within a 15-day notice period.