Senior Data Engineer GCP, BigQuery, Shell Scripting, Jenkins, Terraform,SQL, Python, Power BI

UPS; Chennai District; On-site; INR 1,600,000 - 2,800,000; Full time

Job summary

A Fortune Global 500 organization in Chennai is seeking a Senior Data Engineer. This role involves managing the full systems life cycle, including application development and optimization of data pipelines using GCP and associated tools. The ideal candidate should have over 7 years of experience with various technologies, strong problem-solving skills, and the ability to communicate effectively within teams.

Qualifications

• Minimum 7+ years in GCP, BigQuery, SQL, OpenShift, Shell Scripting, Python, and 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.

Responsibilities

• Design, implement, and optimize data pipelines using Google Cloud Platform services.
• Gather requirements, define scope, and produce technical documentation.
• Implement best practices for data accuracy, consistency, and reliability.
• Monitor and optimize pipeline and query performance.

Skills

GCP

BigQuery

SQL

Shell Scripting

Python

Power BI

ETL processes

Data modeling

CI/CD

Jenkins

OpenShift

Communication

Teamwork

ML/AI awareness

Tools

OpenShift

Jenkins

Cloud Pub/Sub

Cloud Storage

Terraform

Jenkins

OpenShift

Job description

Senior Data Engineer – GCP, BigQuery, Shell Scripting, Jenkins, Terraform, SQL, Python, Power BI

Apply for the Senior Data Engineer role at UPS.

Job Description

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.

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

• 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.
• Gather requirements, define scope, and produce technical documentation.
• Implement best practices for data accuracy, consistency, and reliability.
• Monitor and optimize pipeline and query performance.

Required Skills & Experience

• Minimum 7+ years in GCP, BigQuery, SQL, OpenShift, Shell Scripting, Python, and 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 machine learning (ML), deep learning (DL), and AI technologies.
• Excellent problem‑solving, analytical, communication, and teamwork skills.

Employee Type

Permanent

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Information Technology

Industries

IT Services and IT Consulting

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