Match score not available

Lead Data Engineer (relocation to Cyprus)

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

Cyprus, Portugal

Offer summary

Qualifications:

5+ years of experience in data engineering, Expertise in Azure data platforms, Proficient in SQL and Azure Data Factory, Strong knowledge of data architecture patterns.

Key responsabilities:

Data integration, transformation and modeling
Develop and maintain scalable data pipelines

EPAM Systems XLarge http://www.epam.com

10001 Employees

See more EPAM Systems offers

Job description

We are looking for a Lead Data Engineer with expertise in cloud infrastructure, big data processing, data integration and analytics, particularly with Azure.

In this role, you will play a crucial part in advancing our client’s Data-Driven Company initiative within the insurance sector. Your role will involve designing and building robust data architecture to support various aspects of the client’s business.

This position is integral to one of our projects in the client’s Finance IT area, focusing on the integration component of their finance landscape. Proficiency in SQL and Azure Data Factory is essential for success in this role. Join us at our Cyprus office, which offers a flexible hybrid work setup. If you're ready to leverage your skills and perspective to make a significant impact, apply now and help us transform our data capabilities in the finance and insurance industries.

Responsibilities

Data integration, transformation and modeling
Serving large amounts of structured & semi-structured financial data
Analyze existing process logic
Implement best practices in data architecture, including security, governance, compliance and performance optimization
Optimize the data storage across Delta Lake for data management
Develop and maintain scalable data pipelines and build out new API integrations to support continuing increases in data volume and complexity
Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision-making across the organization

Requirements

At least 5+ years of professional experience in the data engineering field
Experience with Azure data platforms and related services
Proficiency in designing and optimizing pipelines using Azure Data Factory, including performance tuning and optimizing data pipelines with Databricks Notebooks
Proficiency in Azure Databricks, Delta Lake, Python and PySpark for data manipulation
Good understanding of SQL and experience with relational database systems (e.g., MSSQL, PostgreSQL, Oracle DB)
Understanding data structures, data modeling and data architecture patterns (Data Lake, DWH, Data mesh, etc.)
Ability to work in an agile environment and eager to learn and develop new skills
Good problem-solving skills and attention to detail
Strong written and spoken English

Nice to have

Certifications in Azure data or Cloud Services (e.g., Azure Data Engineer Associate)
Business understanding of the insurance or financial domain
Experience with BI Tools (Power BI)

We offer

Private healthcare insurance
Regular performance assessments
Family friendly initiatives
Corporate Programs including Employee Referral Program with rewards
Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
*All benefits and perks are subject to certain eligibility requirements