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Freelance Cloud Data Engineer
2 months ago
ThreatXIntel is a startup cyber security company that offers customized, affordable solutions to protect businesses from cyber threats. Specializing in cloud security, web and mobile security testing, and DevSecOps, we aim to provide high-quality services to businesses of all sizes. Our proactive approach involves continuous monitoring and testing to identify vulnerabilities before they can be exploited.
Role Description
We are seeking an experienced Cloud Data Engineer with expertise in AWS , Spark , Java , and Ab Initio graph transformation logic. This role involves working on data migration and transformation for a large-scale cloud data environment, with a focus on converting input data to output files based on transformation requirements. The ideal candidate will also have strong knowledge of parallel and batch processing and experience with Yugabyte data loading .
Key Responsibilities:
Analyze Ab Initio graph transformations to understand input data structures, transformation logic, and output requirements.
Develop and optimize Java Spark code to transform parquet files and load data into Yugabyte and other storage formats.
Design and implement data migration and integration processes on AWS EMR using Docker and Terraform for deployment.
Collaborate with cross-functional teams to understand data requirements, perform data transformations, and troubleshoot issues.
Ensure high-quality code and efficient performance for data processing pipelines, especially in high-transaction environments.
Document processes, transformations, and code changes, providing technical support during the transition from legacy systems.
Qualifications:
5+ years of experience in data engineering, with a focus on AWS , Spark , and Java for cloud-based data migration.
Strong understanding of Ab Initio graph transformations and ability to interpret complex data flows and transformations.
Proficient in AWS EMR and data tools, with experience in Docker and Terraform for infrastructure as code (IaC).
Solid background in parallel processing, batch processing , and handling large transaction volumes.
Knowledge of parquet file formats and loading data into Yugabyte or other distributed databases.
Experience with CI/CD pipelines and familiar with Unix/Linux scripting .
Strong analytical skills and ability to independently troubleshoot and resolve complex data issues.
Preferred Skills:
AWS Certifications and familiarity with Eclipse IDE and Spring Boot for Java applications.
Experience with orchestration tools like Airflow and containerization with Kubernetes .
Why Join Us?
This is a high-impact role on a core data engineering team, offering the chance to work on cutting-edge cloud technologies and large-scale data migrations. If you have a passion for optimizing data transformations and a strong understanding of cloud-based data systems, we’d love to work with you
