Senior Data Engineer - Palantir Foundry
Undelucram.ro·Publicat acum o săptămână
StartupData Engineer
Tehnologii și competențe
Palantir FoundryDatabricksPySparkSQLData EngineeringData Pipeline DesignETL/ELTData ArchitectureDistributed Data ProcessingPerformance OptimizationData ModelingData GovernanceData QualityMonitoring and ObservabilityTechnical LeadershipEnglish
Descrierea anunțului
Undelucram.ro on behalf of:
EPAM Romania
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking a Senior Data Engineer to lead the design, implementation, and optimization of enterprise-scale data solutions using Palantir Foundry or Databricks, bringing deep technical expertise in data engineering and strong analytical capabilities to guide delivery teams in developing high-performance data products.
Responsibilities
Design and implement scalable data pipelines and reusable data products
Lead the development of complex data transformation frameworks using PySpark and SQL
Define and promote data engineering best practices across delivery squads
Drive performance tuning, data quality improvements, and operational reliability initiatives
Optimize large-scale processing workloads and data models
Establish monitoring, observability, and troubleshooting standards
Provide technical guidance and mentorship to junior and intermediate data engineers
Collaborate with architects and business stakeholders on solution design and delivery planning
Contribute to platform governance, standards, and engineering excellence initiatives
Translate business requirements into scalable technical solutions
Support delivery of enterprise analytics and reporting capabilities
Requirements
Extensive experience (3+ years) in Palantir Foundry Data Engineering or Databricks
Expertise in PySpark and SQL
Proven experience designing large-scale ETL/ELT pipelines and data architectures
Knowledge of distributed data processing and performance optimization
Experience leading technical delivery within data engineering teams
Understanding of data modeling, governance, and data quality practices
English proficiency at B2 level or higher
Nice to have
Experience with both Palantir Foundry and Databricks
Background in reinsurance or insurance industry processes, particularly finance-related data domains
Experience working in complex enterprise environments
Knowledge of cloud-native analytics and data platforms
We offer
We believe that the greatest strength of the company is its people. EPAM is fully committed to help its employees to reach their full potential and achieve their professional goals through continues learning. With this in mind, we would like to introduce to you few of the many opportunities and services which we believe will help you expand your current knowledge:
Full access to cutting-edge tools and technologies
Competitive compensation depending on experience and skills
All-around Social package: professional & soft skills training, medical & family care programs, sports
Relocation opportunities
Free English classes
Unlimited access to LinkedIn learning solutions
Continuous experience exchange with experts and professionals worldwide
Friendly team and comfortable working environment
Engineering, corporate, and social events within and outside the Company
Flexible working schedule
Opportunities for self-realization
Cât de complet e anunțul
Anunț complet
80/100
- Spune cum se lucrează (remote / hibrid / birou)
- Zilele de birou sunt clare
- Se poate deduce experiența cerută
- Nu afișează salariul
- Listează tehnologiile cerute
- Compania este identificabilă
Scorul măsoară cât de multe informații oferă anunțul, nu cât de atractiv e jobul. Un rol la birou și unul remote pornesc de la același scor.
- La birou
Rol care se lucrează de la birou.
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