Position: Senior Data Engineer
Company: EPAM Systems
Category: Data Engineer
Experience required: 3y
English level: upper
Published: 2023-05-01T00:00:00+03:00

PLEASE NOTE THE VACANCY IS OPEN in GEORGIA and POLAND.

We are looking for experienced Senior Data Engineer to join our team.

Client 
Market Intelligence is a provider of powerful solutions with multi-asset class and real-time data, research, news, and analytics to institutional investors, investment and commercial banks, investment advisors and wealth managers, corporations, and universities.

About the product
Provides a single integrated data source to help quantitative research and modeling. The data incorporates thousands of automated and manual data quality checks to review content before it is published.

Technical stack:
• Scala / Java / .NET;
• Spark;
• Databricks;
• AWS;
• Advanced SQL coding;
• Relational Database Design;
• Data Warehousing.

Requirements:
• Proficient with software development lifecycle (SDLC) methodologies like Agile, Test-driven development.
• Experience with SQL and NoSQL databases, advanced SQL is required.
• Experience with Big Data platforms such as Apache Hadoop and Apache Spark, Databricks
• Experience in developing & implementing solutions utilizing Data Lake.
• Experience with stream processing engines like Kafka, Spark, etc.
• Expertise in building event driven scalable & resilient systems.
• Demonstrates a thorough understanding of information systems, business processes, the key drivers and measures of success while choosing the proper methodologies and policies to support broad business goals.
• Experience in the Financial services domain is a plus.

We offer:
• Medical insurance;
• Stable income;
• Flexible roles;
• For your comfortable work;
• 100% remote work;
• EPAM hardware;
• EPAM software licenses
• Access to offices and co-workings;
• Stable workload;
• Flexible engagement models;
• For your growth;
• Free trainings for technical and soft skills;
• Free access to LinkedIn Learning platform;
• Language courses;
• Free access to internal and external e-Libraries;
• Certification opportunities;
• Skill advisory service.