Senior Databricks Data Engineer

EPAM Systems, Inc.; Zürich; Hybrid; CHF 120.000 - 180.000; Vollzeit

Benefits dieser Stelle

5 weeks vacation

ESPP

Parental leave

Pension plan

Sickness insurance

Employee assistance

Travel insurance

Training programs

Zusammenfassung

EPAM Systems, Inc. is seeking a Senior Databricks Data Engineer to join our team in Geneva or Zürich, Switzerland, with occasional onsite visits to Geneva.

You will drive onboarding of new datasets and pipelines into an enterprise Databricks Lakehouse platform and support modernization programs. You will collaborate with business and technical stakeholders to develop robust data ingestion, transformation and processing solutions while ensuring architectural best practices, performance and

Qualifikationen

• 5+ years data engineering in enterprise-scale environments.
• Hands-on Databricks and Delta Lake experience.
• Advanced Python and SQL for data transformations.

Aufgaben

• Build and optimize data pipelines and ingestion flows into Databricks.
• Analyze source systems and define transformation logic.
• Implement Medallion Bronze/Silver/Gold architecture.
• Migrate workloads from legacy data warehouses to Databricks.
• Collaborate with stakeholders and deliver data products.
• Produce documentation and knowledge transfer sessions.

Kenntnisse

Data engineering

Stakeholder management

Communication skills

Python

SQL

Cloud data platforms

Tools

Databricks

Delta Lake

Azure

Lakehouse architecture

Medallion design patterns

Jobbeschreibung

We're looking for a Senior Databricks Data Engineer to join our team in Geneva or Zürich, Switzerland, with occasional onsite visits to the client’s office in Geneva. In this role, you will drive onboarding of new datasets and pipelines into an enterprise Databricks Lakehouse platform and support critical data platform modernization programs. You will collaborate with business and technical stakeholders to develop robust data ingestion, transformation and processing solutions while ensuring architectural best practices, performance and compliance across multiple environments.ResponsibilitiesBuild and optimize data pipelines and ingestion flows into the Databricks platformAnalyze source systems, data models and define business transformation logicImplement and maintain Medallion architecture (Bronze/Silver/Gold layers)Support migration of workloads from legacy data warehouses to DatabricksTroubleshoot performance, integration and pipeline failures in complex environmentsCollaborate with technical and business teams to develop and deliver new data productsProduce documentation and deliver knowledge transfer sessions for client teamsRequirements5+ years of data engineering experience in enterprise-scale environmentsProven hands-on experience with Databricks and Delta Lake for large-scale processingAdvanced programming in Python and SQL for data transformation workflowsExpertise in Lakehouse architecture and Medallion design patternsExperience designing ETL pipelines and migrating workloads from data warehousesFamiliarity with Azure-based data services and cloud ecosystemsKnowledge of data governance and metadata best practicesStrong communication skills with ability to manage multiple stakeholdersDomain exposure to financial services or regulated industries is a plusWe offer5 weeks of vacationEPAM Employee Stock Purchase Plan (ESPP)Enhanced parental leaveExtended pension planDaily sickness allowance insuranceEmployee assistance programGlobal business travel medical and accident insuranceLearning and development opportunities including in-house training and coaching, professional certifications, and courses• Please note that any offers will be subject to appropriate background checks• We do not accept CVs from recruiting or staffing agencies• For this position, we are able to consider applications from the following:- Swiss nationals- EU/EFTA nationals- Third-country nationals based in Switzerland with an appropriate work permit- Displaced people from Ukraine who are currently in Switzerland and hold, or have already applied for, S permits