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Luxoft Linkedin · Posted 20d ago

Senior Data Engineer (Snowflake)

Bucharest

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Indexed description

Project description

Our Client is a leading global financial markets infrastructure and data provider. Their purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.


Team is responsible for managing a secure, scalable, and highly available cloud platform built on AWS, Azure, and Snowflake. Our mission is to deliver a strategic Common Data and Reporting solution for clients, members, and regulators by consolidating multiple data sources into a centralized reporting data store.


This role offers the opportunity to work on cutting-edge cloud technologies and contribute to building a platform that transforms how data is leveraged across the business.


Responsibilities

  • Design, build, and optimize scalable data pipelines using Python, SQL, DBT, and Apache Airflow
  • Develop and manage DBT models and ensure reliable workflow orchestration in Airflow
  • Monitor and maintain Snowflake platform performance, availability, and cost efficiency
  • Troubleshoot and resolve issues across data ingestion, transformation, and pipelines
  • Implement and maintain end-to-end data quality testing and validation frameworks
  • Automate deployments and workflows using GitLab CI/CD and support release processes
  • Provide support to users and collaborate with teams on Snowflake, Airflow, and data solutions
  • Document architecture and best practices while contributing to technical design, mentoring, and continuous improvement
  • Release management till production


Skills

Must have

  • 7+ years of proven experience as a Data Engineer
  • Hands-on experience with Snowflake (preferred) or Databricks
  • Experience with cloud platforms – AWS EC 2 and S3 (preferred) or Azure
  • Strong Python
  • experience in data processing and automation
  • Basic CI/CD knowledge (GitLab or similar)
  • understanding of deployment pipelines
  • Apache Airflow
  • workflow orchestration
  • Strong SQL
  • advanced query writing and optimization skills


Nice to have

  • Terraform
  • infrastructure as code
  • Data Build Tool
  • data transformation and modeling
  • Kafka
  • event streaming and messaging
  • Experience with DBT (data modeling and transformation)
  • Oracle
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