Senior Data Software Engineer
Primary stack
Microsoft SQL ServerPythonBigQuery
Nice to have's
Python
Job description
About the Position
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
Nice to Have
- Python data libraries experience (Pandas, NumPy)
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
- Global career opportunities
- Volunteer and community involvement opportunities
- EPAM Employee Groups
- Award-winning culture recognized by Glassdoor, Newsweek, and LinkedIn
About the Company
[Company description if present]
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