Senior Data Software Engineer

Remote in Dominican Republic,

Data Software Engineering

Location-specific conditions & benefits*

Dominican Republic

Join our remote team as a Senior Data Software Engineer within a global leader in data-driven solutions. We are seeking a highly skilled and experienced individual to take ownership of building and implementing reusable DataBricks components for data ingestion and analytics. The successful candidate will collaborate closely with architects, technical leads, and other functional groups to ensure the creation of effective and efficient solutions. This role presents an opportunity to drive innovation and contribute to the optimization of the company's data solutions.

Responsibilities

Design and implement reusable DataBricks components for data ingestion and analytics
Ingest data via batch, streaming, and replication into data lake and make data available for reporting and predictive modeling
Establish security controls, integration with data governance and clear auditable data lineage
Build collaborative partnerships with architects, technical leads, and key individuals within other functional groups
Participate in code review and test solutions to ensure they meet best practice specifications
Write project documentation
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives
Collaborate with cross-functional teams to achieve project goals

Requirements

At least 3+ years of experience in Data Software Engineering
Expertise in Databricks and PySpark for building and managing Big Data analytics applications
Hands-on experience with Microsoft Azure, including Azure Synapse Analytics, SQL Azure, and ADLS for designing and deploying scalable, available and fault-tolerant systems
Experience in building data ingestion pipelines, data warehousing or database architecture
Deep understanding of data modeling concepts and experience with modern Big Data components
Strong coding experience with Python for building data solutions
Understanding of compliance awareness, such as PI, GDPR, HIPAA for data security and privacy
Experience in actively participating in code review and testing solutions to ensure they meet best practice specifications
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

Nice to have

Experience with Power BI for data visualization and reporting

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