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

We offer

- 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

- Integral career opportunities

- Volunteer and community involvement opportunities

- EPAM Employee Groups

- Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

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