Senior Data Engineer

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Bentley Systems

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Job Summary


Job Type
-

Seniority

Years of Experience
Information not provided

Tech Stacks
Python SQL Spark Azure Databricks Apache CI Synapse Analytics Amazon S3 ETL

Job Description

Bentley Systems

Senior Data Engineer

Location- Hybrid, Pune/Kolkata

Position Summary

We are seeking a highly skilled and experienced Senior Data Engineer to join our team in Pune. The successful candidate will be responsible for designing, building and maintaining scalable data pipelines and transformation workflows for our data platform. The role involves working with modern data warehousing and lakehouse technologies to ensure reliable, high‑quality data for downstream analytics and reporting.

Responsibilities-

  • Design, build, and maintain scalable data pipelines and data workflows to support analytics and reporting needs. Work on data ingestion, transformation, and storage across structured data systems
  • Apply strong data warehousing principles to ensure data is reliable, consistent, and well‑modelled.Collaborate with backend and frontend teams to enable efficient data access and usage.
  • Ensure data quality, correctness, and performance across data processes.
  • Participate in technical discussions and contribute to improving data architecture and standards.
  • Troubleshoot data issues and optimize existing pipelines for performance and scalability.
  • Document data flows, transformations, and assumptions for maintainability and knowledge sharing.
  • Stay aligned with best practices in data engineering and evolving data technologies.


Qualifications-

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience working in data engineering or data‑focused software engineering roles
  • Strong understanding of data warehousing concepts and data modelling principles.
  • Must have knowledge on Data Platforms & Warehouses - Databricks/Azure Synapse
  • Sound knowledge on Data Processing & Orchestration / ETL - dbt/Apache Spark, storage - Data lakes (S3, ADLS, GCS), Parquet, Delta, Duck db
  • Must have knowledge on programming skills like Python & SQL
  • Should have good knowledge on visualization & reporting - Any BI tool
  • Experience working with modern data platforms or warehouses.
  • Strong problem‑solving skills and the ability to work effectively in cross‑functional teams.
  • A proactive and collaborative mindset.
  • Good to have - Experience with CI/CD practices, working knowledge of Python for data processing, exposure to AI/ML workflows.


What We Offer

  • A great Team and culture – please see our colleague video.
  • An exciting career as an integral part of a world-leading software company providing solutions for architecture, engineering, and construction - watch this short documentary about how we got our start.
  • An attractive salary and benefits package.
  • A commitment to inclusion, belonging and colleague wellbeing through global initiatives and resource groups.
  • A company committed to making a real difference by advancing the world’s infrastructure for better quality of life, where your contributions help build a more sustainable, connected, and resilient world. Discover our latest user success stories for an insight into our global impact.

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