Data Engineer GCP, BigQuery, Shell Scripting, Jenkins, Terraform,SQL, Python, Power BI
At a glance
Mid-level Data Engineering role at Hcmportal. IN - TDC 1 (IN110) · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Build and improve data pipelines with GCP services, ShellScript and Jenkins
- Gather project needs, set scope and prepare technical documentation
- Apply data-quality practices so information stays accurate, consistent and reliable
- Track pipeline and query performance, then tune them when needed
- Contribute to application architecture, technology planning and system integration
What you bring
- At least four and a half years using GCP, BigQuery, SQL, OpenShift, Python and Power BI
- A solid grounding in data models, database design and ETL processes
- Experience connecting GCP with on-premises systems, other cloud platforms and middleware
- You can troubleshoot technical problems and bring strong analytical, communication and teamwork skills
Who this fits
This role suits a mid-level data engineer who works across the full application lifecycle, from analysis and design through coding, testing and implementation. It is a permanent position in India.
From the employer
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Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.
Job Description:
Job Summary
The role involves full systems life cycle management, including analysis, design, coding, testing, and implementation of applications. Responsibilities include contributing to architecture design, technology planning, and integration for Applications Development (AD) projects. The position supports emerging technologies, ensures effective communication, and provides expertise in development, integration, and maintenance.
Key Responsibilities
Data Engineering: Design, implement, and optimize data pipelines using Google Cloud Platform (GCP) services (DataFlow, BigQuery, Cloud Pub/Sub, Cloud Storage), ShellScript, and CI/CD tools like Jenkins.
Collaboration & Documentation: Gather requirements, define scope, and produce technical documentation.
Data Quality & Governance: Implement best practices for data accuracy, consistency, and reliability.
Performance Optimization: Monitor and optimize pipeline and query performance.
Required Skills & Experience
Technical Expertise: Minimum 4.5+ years in GCP, BigQuery, SQL, OpenShift, Python, Power BI.
Strong understanding of data modeling, database design, and ETL processes.
Experience integrating GCP with on-premises systems, other cloud services, and middleware.
Ability to debug and resolve issues effectively.
Excellent problem-solving, analytical, communication, and teamwork skills.
Employee Type:
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