Senior Data Software Engineer

EPAM·Colombia·Удалённо·вчера

We are seeking a Senior Data Software Engineer to build and support scalable data pipelines that keep enterprise data reliable, secure, and available for analytics and reporting. You will partner with cross-functional stakeholders to optimize storage, transformation, and quality processes.

Responsibilities

Design scalable data pipeline architectures for ingestion, transformation, and serving
Build and maintain data processing workflows that meet reliability, performance, and scalability needs
Ensure data integrity, security, and availability aligned with industry practices and organizational requirements
Develop complex SQL procedures and scripts for transformation, aggregation, and retrieval
Optimize BigQuery and SQL Server datasets, queries, and storage patterns for cost and performance
Implement data quality monitoring, validation checks, and alerting to keep production data accurate
Collaborate with data architects, modelers, and IT partners to align engineering work with delivery goals
Integrate new data management technologies and engineering tools into existing environments
Support data warehouse strategy and execution with a focus on scalability, reliability, and performance
Analyze and validate source and curated data to ensure it meets reporting and BI needs
Automate data processing and integration tasks using Python scripts
Stay current on data engineering methods and propose improvements to reduce risk and operational effort

Requirements

3+ years of data engineering experience in building and maintaining data pipelines
Google Cloud BigQuery experience for dataset design, pipeline optimization, and query performance
Microsoft SQL Server experience with complex SQL, procedures, and scripting
Senior-level ownership skills to drive solutions from design through production support
Data pipeline tools knowledge with workflow orchestration or scheduling concepts
Strong database knowledge in relational theory, schema design, and performance tuning
Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
Strong analytical skills to validate data and troubleshoot pipeline or quality issues
Strong communication skills to collaborate with technical and non-technical partners
Upper-Intermediate English proficiency (B2)
Strong collaboration skills to work effectively with data architects and IT partners