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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
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
- 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
- Experience with Power BI for data visualization and reporting
- 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
Key Skills
Ranked by relevance
big data
data visualization
data warehousing
power bi
python
hipaa
gdpr
sql
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- Posted
- Jun 02, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Argentina
- Company
- EPAM Systems
Industries
Software Development
IT Services
IT Consulting
Insurance
Categories
Information Technology
Engineering
Business Development
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3 roles aligned with this opportunity
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