Senior Data Software Engineer

Data Software Engineering, Databricks, Python, PySpark, Microsoft Azure, SQL Azure

Join our remote team as a Senior Data Software Engineer within a global leader in providing cutting-edge cloud-based solutions. We are actively seeking a hands-on and deeply technical developer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment, using technologies such as Python, PySpark, Microsoft Azure, SQL Azure, and Databricks.

Responsibilities

Setting up required Azure services
Building and deploying POC for replacement of the external vendor inside of the infrastructure
Extracting data from data lake (EDL)
Processing data based on application requirements & architecture
Mimicking current existing application
Prioritizing and ensuring high-quality standards at every stage of development
Guaranteeing reliability, availability, performance, and scalability of systems
Collaborating with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Providing technical input for new feature requirements, partnering with business owners and architects
Ensuring continuous improvement by staying abreast of industry trends and emerging technologies
Actively contributing to architectural and technical discussions

Requirements

At least 3+ years of production experience in Data Software Engineering
Be hands-on with deep expertise in Data Engineering, in both functional and non-functional areas
Deep expertise in PySpark for building scalable and high-performance data applications
Experience with Microsoft Azure for cloud-based infrastructure and application management
Familiarity with SQL Azure for designing and managing database schema, including procedures, triggers, and views
Exposure to Databricks for creating unified data analytics platforms
Knowledge of Python web services such as Django and Flask for building efficient APIs and web solutions
Support applications and systems in a production environment, ensuring timely resolution of issues
Expertise in build and test tools for managing build and testing processes
Excellent communication skills in spoken and written English at an Upper-intermediate level or higher

Nice to have

Experience in Big Data technologies such as Hadoop, Spark, Kafka, and Hive is a plus

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
Employee financial programs
Paid time off and sick leave
Upskilling, reskilling and certification courses
Unlimited access to the LinkedIn Learning library and 22,000+ courses
Global career opportunities
Volunteer and community involvement opportunities
EPAM Employee Groups
Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn