Overview
We are seeking a Senior Data Software Engineer to join a client-facing delivery team building and hardening cloud-native data pipelines on AWS as part of a data platform modernization program. The role involves ingesting and transforming large datasets with PySpark on AWS Glue and delivering curated, validated data into Snowflake, with a core focus on data quality, validation, and reconciliation for downstream analytics. This position is delivered at a Senior Consultant level with high autonomy and direct client stakeholder communication.
- Design, build, and optimize scalable batch and incremental ETL/ELT pipelines using PySpark on AWS Glue
- Configure Glue jobs, crawlers, triggers, connections, bookmarks, workflows, and the Glue Data Catalog
- Tune workers, partitioning, and shuffle behavior for cost and performance optimization
- Model and load curated datasets into Snowflake with staging, transformation, and publishing layers
- Implement automated data quality and validation frameworks, including schema/contract enforcement and null/uniqueness/referential checks
- Develop row-count and financial reconciliation processes, anomaly detection, and quarantine/reject handling
- Configure and extend Glue Data Quality (DQDL) rules per requirements
- Write clean, modular, testable Python with unit/integration tests and reusable libraries
- Integrate pipelines with AWS services such as S3, IAM, Lambda, Athena, CloudWatch, Step Functions, and Secrets Manager
- Instrument observability through logging, metrics, alerting, and pipeline SLA monitoring
- Participate in code reviews, CI/CD automation, and documentation
- Engage directly with client stakeholders in requirements refinement, design walkthroughs, status reporting, and act as technical advisor within the workstream
- 3+ years of experience with Python for production-level data engineering, including OOP and functional patterns
- Expertise in PySpark for distributed data processing and the DataFrame API
- Advanced proficiency in Snowflake, including data warehousing and staging/transformation layers
- Skills in AWS Glue, including job configuration, crawlers, Data Catalog, and DQDL
- Background in data quality engineering, including validation frameworks and reconciliation
- Proficiency in AWS services including S3, IAM, Lambda, Athena, and CloudWatch
- English proficiency at B2 level or higher
- Delivering innovative solutions to industry leaders, making a global impact
- Enjoyable working environment, whether it is the vibrant office or the comfort of your home
- Opportunity to work abroad for up to two months per year
- Relocation opportunities within our offices in 55+ countries
- Corporate and social events
- Leadership development, career advising, soft skills and well-being programs
- Certifications, including GCP, Azure and AWS
- Unlimited access to EPAM's internal learning database
- Free English classes with certified teachers
- Participation in the Employee Stock Purchase Plan
- Monetary bonuses for engaging in the referral program
- Comprehensive medical & family care package
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)
- Familiarity with Generative AI / LLM concepts
- Knowledge of Airflow / Step Functions orchestration
- Familiarity with Great Expectations or similar data quality frameworks
- Knowledge of Terraform / CloudFormation
- Data Software Engineering
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