Staff Big Data Engineer (Python/AWS)
We are looking for a highly experienced Staff Big Data Engineer to lead a critical Data Migration project for our client. In this role, you will be the driving technical force behind transitioning massive, complex data sets from legacy environments to a modern, cloud-native architecture.
As a Staff Engineer, you won't just write code. You will design the migration strategy, architect scalable data pipelines, ensure bulletproof security, and elevate the engineering standards of the entire team. If you excel at solving complex distributed data problems and have deep expertise in AWS, Spark, and modern table formats like Apache Iceberg, this is the challenge for you.
Essential functions
Architect & Lead: Design and execute a comprehensive data migration strategy from on-premise/legacy systems to a modern AWS ecosystem.
Build Scalable Pipelines: Design, develop, and optimize robust big data pipelines using Python, Apache Spark, and Apache Airflow.
Cloud Infrastructure: Deploy and manage Spark jobs on Kubernetes (K8s/EKS) and utilize AWS services (S3, EMR, Glue, Athena) to build highly scalable data architectures.
Ensure Security & Governance: Implement and maintain top-tier security standards across the Hadoop ecosystem and AWS infrastructure.
Technical Leadership: Act as the ultimate technical authority on the project, mentoring senior engineers, driving best practices, and collaborating closely with stakeholders to meet RFP requirements.
Modernize Data Formats: Implement and optimize data storage using Apache Iceberg.
Qualifications
Extensive Experience (8+ years): Proven track record in data engineering with a focus on large-scale distributed systems and data migrations.
Cloud Expertise (AWS): Deep knowledge of AWS data services, including S3, EMR, Glue, and Athena. Experience running Spark jobs on K8s or EKS is highly desired.
Data Processing: Exceptional, hands-on experience with Apache Spark and strong programming skills in Python.
Orchestration: Solid experience building and managing complex DAGs with Apache Airflow.
Modern Table Formats: Production experience with Apache Iceberg.
Security: Strong understanding and practical experience with Hadoop Ecosystem Security.
Would be a plus
Hands-on experience with the legacy Hadoop stack (YARN, HDFS, Hive).
Prior experience acting as a technical lead in enterprise-level Data Migration RFPs.
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.