Our team is expanding, and we're in search of a Lead Data Software Engineer to join us. This position is well-suited for an individual who enjoys engineering resilient data systems that inform key business decisions. You'll work alongside a group committed to producing clean, well-validated code and maintaining disciplined engineering practices. For someone drawn to solving data problems at scale, this role presents considerable opportunity for growth and lasting impact

Responsibilities

- Build and structure scalable data pipelines that ensure reliable data flow across a variety of systems

- Develop and keep up ingestion pipelines that source data from multiple, varied origin systems

- Write clean, high-quality, well-tested code rooted in sound software engineering practices

- Work together with cross-departmental teams to understand data needs and convert them into viable technical solutions

- Observe data pipeline performance closely, addressing potential issues early to maintain consistent system reliability

- Contribute to code review processes to help sustain quality expectations and share insights across the team

- Investigate and correct data quality concerns to maintain dataset accuracy and consistency

- Play a part in continuously refining data architecture methods and engineering standards

- Compile documentation covering technical processes and solutions to facilitate knowledge sharing and support new hire onboarding

- Work inside an agile structure, engaging in sprint planning and other routine team gatherings

Requirements

- At least 5 years of relevant practical experience in the field




- A minimum of one year spent in roles leading and managing development teams

- Demonstrated skill with PySpark and Spark SQL for developing and managing large-scale data workflows

- Hands-on background constructing and supervising Lakeflow pipelines and Jobs for data orchestration purposes

- Proficient with Auto Loader and JDBC/CDC ingestion strategies, including experience with sources like DB2 and SQL Server

- Strong familiarity with Delta Lake and Unity Catalog for managing data storage and governance requirements

- Track record maintaining data quality and carrying out source reconciliation to ensure accurate, trustworthy data

- Background developing unit tests using pytest to validate code reliability and correctness

- Working knowledge of Git and Asset Bundles to support version control and deployment management

- Upper-intermediate English language skills or higher (B2)

Nice to have

- Experience participating in DataStage migration efforts

- Background extracting data from Dynamics 365/Dataverse systems

- Databricks certification held

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

- General career opportunities

- Volunteer and community involvement opportunities

- EPAM Employee Groups

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

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