We're on the lookout for a Senior Data Software Engineer to come aboard our team. This position is a great match for someone who takes pleasure in architecting durable data solutions that power important business choices. You'll collaborate closely with a group that prioritizes clean, thoroughly tested code and disciplined engineering approaches. For anyone energized by tackling large-scale data problems, this role provides ample opportunity for both growth and meaningful contribution

Responsibilities

- Architect and construct scalable data pipelines that enable dependable data flow across multiple platforms
- Build and sustain data ingestion workflows pulling from a range of different source systems
- Produce clean, high-performing, thoroughly tested code grounded in solid software engineering principles
- Partner with teams across different functions to understand data needs and shape them into working technical solutions
- Keep watch over data pipeline performance, stepping in ahead of time to resolve issues and preserve system dependability
- Join in on code review sessions to help maintain quality benchmarks and spread knowledge throughout the team
- Diagnose and fix data quality problems, safeguarding accuracy and consistency across all datasets
- Help drive continuous enhancement of data architecture practices and engineering standards




- Create documentation covering technical workflows and solutions to aid knowledge sharing and new team member onboarding
- Operate within an agile framework, taking part in sprint planning sessions and other recurring team activities

Requirements

- At least 3 years of relevant hands-on professional background
- Solid practical expertise with PySpark and Spark SQL for constructing and processing large-scale data workflows
- Background building and overseeing Lakeflow pipelines and Jobs to support data orchestration
- Skilled in using Auto Loader along with JDBC/CDC ingestion approaches, working with sources like DB2 and SQL Server
- Strong background with Delta Lake and Unity Catalog for handling data storage and governance needs
- Experience maintaining data quality standards and performing source reconciliation to ensure dependable, accurate datasets
- Background writing unit tests through pytest to confirm code correctness and reliability
- Familiarity with Git and Asset Bundles for managing version control and deployment workflows
- Upper-intermediate English language skills or higher (B2)

Nice to have

- Background working on DataStage migration initiatives
- Experience extracting data from Dynamics 365/Dataverse
- Holding a Databricks certification

📌 Senior Data Software Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina