Data Engineer - GCP, SQL,BiqQuery, Dataflow, Pub/Sub, Logging, IAM

UPS; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

A leading global logistics company is seeking a Data Engineer to design, build, and maintain pivotal data pipelines. The ideal candidate should have over 5 years of experience with Google Cloud Platform and proficiency in Python. Responsibilities include optimizing data quality and performance, working collaboratively with cross-functional teams, and documenting data solutions. Strong experience with modern data technologies is essential. This permanent position offers a dynamic work environment in Tamil Nadu, India.

Qualifications

• 5+ years of professional experience as a Data Engineer.
• Strong hands‑on experience with GCP data services.
• Proficiency in Python for data manipulation.

Responsibilities

• Design, build, and optimize robust and scalable data pipelines.
• Implement and manage data solutions using GCP services.
• Develop and maintain data models within Neo4j and/or Stardog.

Skills

Data Pipeline Development

Cloud Data Stack Expertise

Knowledge Graph Engineering

Data Quality & Governance

Performance Optimization

Collaboration

Documentation

Python

SQL

Terraform

Education

Bachelor’s degree in computer science, Engineering, or a related quantitative field

Tools

Google Cloud Platform (GCP)

BigQuery

Dataflow

Pub/Sub

Cloud Storage

Composer (Apache Airflow)

Git

Job description

Before you apply to a job, select your language preference from the options available at the top right of this page. 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

We're seeking a talented Data Engineer with hands‑on experience in the Google Cloud data ecosystem and a proven track record. You'll be instrumental in designing, building, and maintaining our data infrastructure and pipelines, enabling critical insights and supporting data‑driven initiatives across the organization.

Responsibilities

• Data Pipeline Development: Design, build, and optimize robust and scalable data pipelines to ingest, transform, and load data from various sources into our data warehouse and knowledge graphs.
• Cloud Data Stack Expertise: Implement and manage data solutions using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Spanner, Dataproc and Azure Cloud Services.
• Knowledge Graph Engineering: Develop and maintain data models, ingest data, and create efficient queries within Neo4j and/or Stardog. Leverage your expertise to build and expand our enterprise knowledge graph.
• Data Quality & Governance: Implement best practices for data quality, data validation, and data governance, ensuring data accuracy, consistency, and reliability.
• Performance Optimization: Continuously monitor and optimize the performance of data pipelines and database queries, identifying and resolving bottlenecks.
• Collaboration: Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver effective data solutions.
• Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and knowledge graph schemas.

Education

Required Qualifications

Bachelor’s degree in computer science, Engineering, or a related quantitative field.

Experience

• 5+ years of professional experience as a Data Engineer or in a similar role.
• Strong hands‑on experience with Google Cloud Platform (GCP) data services, including BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Composer (Apache Airflow).
• Proficiency in Python for data manipulation and pipeline orchestration.
• Experience with SQL and data warehousing concepts.
• Familiarity with data modeling techniques relational database.
• Experience with version control systems (e.g., Git).
• Application Support.
• Terraform or any other IaC tools.

Preferred Qualifications

• Experience with other GCP services.
• Knowledge of streaming data technologies (e.g., Kafka, Google Cloud Dataflow streaming).
• Familiarity with data governance tools and principles.
• Certifications in Google Cloud Platform data engineering.

Employee Type

Permanent

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