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Data Engineer (Python)

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

Greece

Offer summary

Qualifications:

Extensive Python engineering experience, Experience with Apache Spark data processing, Proficient in SQL and relational data modeling, Familiarity with Databricks and Delta Lake, Good knowledge of Microsoft Azure.

Key responsabilities:

Implement software for data processing using Medallion Architecture
Manage data integration processes efficiently
Apply techniques to enhance data utility
Maintain data model integrity and performance
Collaborate with teams to interpret requirements and support production

EPAM Systems Information Technology & Services XLarge https://www.epam.com/

10001 Employees

See more EPAM Systems offers

Job description

We are currently on the lookout for a seasoned Data Engineer with Python knowledge to boost our hybrid engineering teams in a remote work setup.

This role encompasses the support for data integration, transformation, modeling and management of voluminous structured financial data of one of our clients from the financial industry.

As the selected candidate, you will design and develop software to effectively process data through our client's Medallion Architecture running on Databricks in the Microsoft Azure environment. We aim to seamlessly incorporate software engineering techniques and principles into data engineering.

Responsibilities

Craft and implement software for data procession using Medallion Architecture on the Databricks in Microsoft Azure
Handle data integration processes
Apply data transformation and modeling techniques to enhance data utility and augment system efficiency
Sustain data model integrity, reliability, and performance
Cooperate with various teams to interpret business requirements, contribute to system designs, and deliver production problem-solving support

Requirements

Extensive Python engineering experience
Proven experience in building data processing systems using structured data, preferably with Apache Spark
Proficient in relational data modelling and SQL
Ability and drive to work across the whole software development lifecycle from understanding requirements, contributing to designs, writing quality code, conducting automated tests, providing production support and assisting with deployments
Experience with Databricks and Delta Lake would be mandatory requirement
Good Azure knowledge
Excellent English communication skills, both written and verbal

We offer

For you:

Paid annual vacation
Paid sick leave days
Private health insurance
Stable income
Meal and home office compensation

For your comfortable work:

Remote and hybrid work opportunities
Corporate laptop
Possibility to work on your own device
Free licensed software
Relocation opportunities
Free wellbeing activities

For your growth:

Possibility to create a Personal Development Plan from the first day in the company
Free trainings for technical and soft skills
Free access to LinkedIn Learning platform
Free access to internal and external e-Libraries
Certification opportunities
Language courses
Internal technical and non-technical communities
Possibility to contribute in internal, opensource products

The remote option applies only to the Candidates who will be working from any location in Greece.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to positively impacting 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 learn and grow continuously. You will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

EPAM is committed to providing our global team of 52,800+ EPAMers with inspiring careers. EPAMers lead with passion and honesty and think creatively. Our people are the source of our success, and we value collaboration, try always to understand our customers' business, and strive for the highest standards of excellence.