Data Engineer

2 weeks ago

Bucharest, Bucureşti, Romania Luxoft Romania Full time €80,000 - €120,000 per year

Project Description

Our client is a leading global Financial markets data provider runs a number of change programs to deliver of high-quality software that connects

Financial Markets across the globe in a real-time, high frequency and low-latency data management chain.

The projects are technically challenging in a very engaging environment making the most of cutting-edge technologies.

Responsibilities


• Design, build, and maintain scalable ETL/ELT data pipelines to support analytics, reporting, and machine learning use cases.


• Develop and optimize data models and warehouse structures in Snowflake to ensure high performance and reliability.


• Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver clean, reliable, and accessible datasets.


• Implement and manage data orchestration workflows (e.g., Airflow, AWS Step Functions) to ensure timely and accurate data delivery.


• Apply best practices in data governance, quality, and security across all pipelines and storage layers.


• Monitor, troubleshoot, and optimize data processes for performance, scalability, and cost efficiency.


• Leverage AWS cloud services to design resilient, scalable, and secure data architectures.


• Use Python and SQL for advanced data transformations, automation, and performance optimization.


• Document data pipelines, models, and workflows to ensure maintainability and transparency.


• Contribute to the continuous improvement of the data engineering platform, adopting new tools, frameworks, and processes.

Mandatory Skills Description


• Strong proficiency in Python for ETL/ELT development and data pipeline automation.


• Hands-on experience with AWS services (S3, Glue, Lambda, EMR, RDS) for building and managing scalable data solutions.


• Expertise in Snowflake for cloud data warehousing, performance tuning, and large-scale data management.


• Advanced SQL skills for data modeling, transformations, and query optimization.


• Practical experience with dbt for modular, version-controlled data transformations and modeling.

Languages

English: B2 Upper Intermediate

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