Senior Data Engineer GCP, BigQuery, Shell Scripting, Jenkins, Terraform,SQL, Python, Power BI
Job Description
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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 7+ years in GCP, BigQuery, SQL, OpenShift, Shell Scripting, 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.
Understanding of ML , DL , and AI Technologies
Excellent problem-solving, analytical, communication, and teamwork skills.
Employee Type
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
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 7+ years in GCP, BigQuery, SQL, OpenShift, Shell Scripting, 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.
Understanding of ML , DL , and AI Technologies
Excellent problem-solving, analytical, communication, and teamwork skills.
Employee Type
Permanent
UPS is committed to providing a workplace free of discrimination, harassment, and retaliation.
More Info
Key Skills
About Company
Python Developer with Python + SQL, Azure, and Model Context Protocol (MCP)Artech Infosystems Private Limited
Skills:
Python, Sql, Azure, Api Development, Machine Learning, Devops, Cloud Services, Database Management, MCP, Data Analysis
Skills:
Data Modelling, Power Bi, Pyspark, Dax, Power Query, Sql, Microsoft Fabric
Skills:
Powerbi, D365FO, Dynamics365, Sql, Azure, Erp, Dax, Power Query, Microsoft Power Bi, BusinessIntelligence, BIConsultant, DataAnalytics
Skills:
Row-Level Security (RLS), Azure Data Factory (ADF), T-sql, Power Bi, Pl Sql, Dax, Star Schema, Sql, Power Bi Desktop, Data Modeling, Gateways, Snowflake Schema, SnowSQL, SQL query development, Workspaces, UI UX principles for business intelligence, Data Validation, Power BI Service, dbt, Cloud-based data warehouses, Modern data platforms
Skills:
Facets - Claims, Facets, Uat, Edi, Configuration Management, Test Delivery Management, Automation Testing, Requirements Management, Sql, GenAI, CMS regulations, Test Design Techniques, Claude, Resource Capacity Planning, Facets Enrolment, Githubcopilot, Resource Planning, Claims SME, Estimation, Test Strategizing and Planning, Knowledge Management, Healthcare Payer Facets Enrolment Billing 834, Test Defect Management Concepts, Project Management, Planning, Testing Process and Metrics, LEP-related processes, Testing Execution Techniques