GDH · 13 hours ago
Senior AWS Data Engineer
GDH is seeking a highly skilled Senior AWS Cloud Data Engineer to lead the design, development, and maintenance of cutting-edge data architectures on AWS. The role involves building innovative data solutions, managing data pipelines, and collaborating with cross-functional teams to deliver impactful data solutions.
ConsultingEmploymentStaffing Agency
Responsibilities
Design and Architect Data Lakehouse Solutions: Develop scalable, reliable, and high-performance data lakehouse architectures on AWS, utilizing Apache Iceberg and other AWS services to ensure efficient data management and processing
Build and Automate Data Pipelines: Design, construct, and optimize ETL/ELT workflows to ingest, transform, and load data from diverse sources into the AWS ecosystem, ensuring data quality and consistency
Develop and Manage Data APIs: Create secure, scalable RESTful APIs using AWS services, enabling seamless data access for internal teams and enterprise applications
Leverage AWS Technologies: Utilize a suite of AWS tools—including Amazon S3, EMR, Lake Formation, Lambda, and API Gateway—to process, store, and analyze large-scale data efficiently
Manage Apache Iceberg Tables: Build, maintain, and optimize Iceberg tables on Amazon S3 to enable advanced data lake features such as ACID transactions, schema evolution, and time travel
Optimize Data Performance: Implement partitioning strategies, data compaction, and fine-tuning techniques to maximize query performance and reduce latency
Ensure Data Quality & Security: Implement data validation, error handling, and security best practices using AWS Lake Formation, IAM, and Cognito to maintain data integrity and compliance
Collaborate Across Teams: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand requirements and deliver impactful data solutions
Provide Technical Support & Documentation: Troubleshoot data pipeline issues, support API functionalities, and maintain comprehensive technical documentation
Qualification
Required
Bachelor's degree in Computer Science, Information Technology, or a related field
Proven hands-on experience in data engineering within cloud environments, with a strong emphasis on AWS services
Programming in Python, Java, or Scala
Strong SQL skills for data modeling, querying, and database design
Extensive experience with AWS services such as S3, EMR, Lambda, Lake Formation, API Gateway, and IAM
Hands-on experience building and managing Apache Iceberg tables on cloud storage
Familiarity with big data frameworks like Apache Spark and Hadoop
API development, deployment, and security best practices
Experience with ETL workflows and orchestration tools like Apache Airflow
Knowledge of DevOps practices, including CI/CD pipelines and Infrastructure as Code (Terraform)
Excellent problem-solving and analytical abilities
Strong communication and collaboration skills
Ability to work independently and thrive within agile teams
Preferred
AWS Certified Data Analytics – Specialty
AWS Certified Data Engineer – Specialty
Other relevant AWS certifications
Benefits
Competitive salary and comprehensive benefits package.
Career development and continuous learning opportunities to advance your expertise.
Collaborative team culture with a focus on innovation and impact.
Company
GDH
GDH is consulting staffing firm that specializes in providing IT engineering-based candidates to commercial and government sectors.
H1B Sponsorship
GDH has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2023 (4)
2022 (2)
2021 (2)
2020 (1)
Funding
Current Stage
Late StageRecent News
Bangkok Post
2025-10-22
2025-04-09
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