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Hiring companyUPS

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Data Engineer

TDC 1, India Full-time On-site

About the role

UPS is hiring a Data Engineer to design, build, and maintain data pipelines and infrastructure within the Google Cloud ecosystem. The role focuses on ingesting, transforming, and loading data into data warehouses and knowledge graphs, leveraging services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, Spanner, Dataproc, and Azure Cloud Services. Candidates will develop and optimize data pipelines, implement data quality and governance practices, and collaborate with data scientists, analysts, and engineering teams. Responsibilities include creating robust pipelines, managing cloud data stacks, engineering knowledge graphs in Neo4j and Stardog, ensuring data accuracy, monitoring performance, and documenting solutions. The position requires a Bachelor’s degree in computer science, engineering, or a related quantitative field, 5+ years of professional experience as a Data Engineer, strong hands‑on experience with GCP data services, proficiency in Python, SQL, relational data modeling, version control (Git), application support, and Terraform or other IaC tools. Preferred qualifications include experience with additional GCP services, streaming data technologies like Kafka and Dataflow streaming, data governance tools, and GCP data engineering certifications. UPS offers a full‑time, on‑site opportunity in India, with a focus on data-driven insights and enterprise knowledge graph development.

What you’ll do

  • 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
  • Implement and manage data solutions using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, Spanner and Dataproc and Azure Cloud Services
  • Develop and maintain data models, ingest data, and create efficient queries within Neo4j and/or Stardog
  • Implement best practices for data quality, data validation, and data governance, ensuring data accuracy, consistency, and reliability
  • Continuously monitor and optimize the performance of data pipelines and database queries, identifying and resolving bottlenecks
  • Work closely with data scientists, analysts, and other engineering teams to understand data requirements and deliver effective data solutions
  • Create and maintain comprehensive documentation for data pipelines, data models, and knowledge graph schemas

What you’ll bring

  • Bachelor's degree in computer science, engineering, or related quantitative field
  • 5+ years professional experience as a Data Engineer or similar role
  • Strong hands‑on experience with GCP data services: BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer
  • Proficiency in Python for data manipulation and pipeline orchestration
  • Experience with SQL and data warehousing concepts
  • Familiarity with relational database data modeling techniques
  • Experience with version control systems (e.g., Git)
  • Application support experience
  • Terraform or other IaC tools

Nice to have

  • 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

Skills

Data pipeline developmentGCP services (BigQuery, Dataflow, Pub/Sub, Cloud Storage, Composer, Spanner, Dataproc)Azure Cloud ServicesKnowledge graph engineering (Neo4j, Stardog)PythonSQLData modelingVersion control (Git)TerraformIaCData quality and governancePerformance optimizationCollaborationDocumentation

Education

Bachelor's

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