Senior Big Data Engineer (Python + AWS)

We are looking for a Senior Big Data Developer to join our team and take full ownership of a modern, high-performance data platform.

Responsibilities

• End-to-End Data Engineering: Design and build complex ingestion and transformation pipelines using Python (PySpark) and Apache Spark.
• Cloud Infrastructure Ownership: Take full responsibility for our AWS environment, utilizing AWS CDK to manage everything from VPCs and Load Balancers to EMR clusters and ECS containers.
• Orchestration & Workflow: Develop and manage sophisticated data workflows using Airflow (MWAA) and AWS Step Functions.
• Modern Data Lakehouse: Implement and optimize storage layers using Apache Iceberg and Redshift, adhering to Medallion Architecture and advanced design patterns.
• Infrastructure-as-Code: Architect self-healing and scalable infrastructure through AWS CDK, ensuring security and compliance via IAM, KMS, and Secret Manager.
• Performance Tuning: Monitor and optimize query performance across Athena, Glue, and RDS to ensure low-latency data access.

Requirements

• Python Mastery: Expert-level proficiency in Core Python, including experience with Pydantic and Alembic.
• Deep AWS Expertise: Extensive hands-on experience across the AWS ecosystem (S3, Lambda, EMR, Redshift, Glue, VPC, ECS, ECR, SQS).
• IaC & Automation: Strong proficiency in AWS CDK and the AWS CLI; ability to manage your own cloud infrastructure independently.
• Big Data Frameworks: Proven experience with Apache Spark (PySpark) and modern table formats like Apache Iceberg.
• Data Orchestration: Hands-on experience with Airflow for managing complex data lifecycles.
• SQL & APIs: Advanced SQL skills and a solid understanding of REST API integration.
• Scripting: Proficiency in Bash for system-level automation.

Nice to have

• Backend Engineering Background: Prior experience in software engineering (beyond just data) is a major plus, specifically building scalable microservices.
• Familiarity with distributed design patterns and data governance.

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office

About Us

Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.