RX Global
Events and Exhibitions
DataEngineerIII
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer III at RX Global. Skills: AWS, Python, SQL, Data Pipelines. Design and build ETL/ELT pipelines. Ingest, transform, and load data”
What You'll Achieve.
Translate business needs into reliable data solutions
Industry & Context.
Problem-solving skills; Research skills; Troubleshoot and resolve process inefficiencies
What They're Looking For.
Must Have
3+ years of professional data engineering or software engineering experience with a data focus, Proven delivery of complex, production-grade data pipelines and platforms across multiple components and domains, Experience translating ambiguous business and analytical requirements into scalable, governed data solutions, Experience working in Agile, cross-functional teams with product, analytics, and data science partners, AWS Services: S3, Glue, Redshift, Athena, EMR, Lambda, Cloud Formation, Kinesis, DynamoDB, SQS, SNS, Lake Formation, Languages: Python, SQL, Scala, Big Data Tools: Apache Spark, DataBricks, Hadoop, Kafka, DevOps: Git, CI/CD, CloudFormation or Terraform, Data Security: experience, ETL Pipelines: experience, AWS infrastructure: Familiarity with AWS VPC, EC2 Instances, Network policies, and Cloud Watch, Experience operating very large data warehouses or data lakes, Security and governance-minded approach aligned to Secure SDLC and data protection practices, Ability to interface competently with other technical personnel or team members to finalize requirements, Ability to write and review portions of detailed specifications for the development of complex system components, Understanding of automation/other tools to increase efficiency, problem solving and research skills, Ability to troubleshoot and resolve process inefficiencies (i. e. bugs) in the repository, attention to detail, oral and written communications skills
Nice to Have
Engineering/Computer Science degree
What You'll Do.
Design and build ETL/ELT pipelines
Schedule and monitor workflows
Create CI/CD Pipelines
Manage structured and unstructured data
Ensure data partitioning
and lifecycle management
Integrate data from multiple sources
Tune ETL jobs and query performance
Optimize storage formats
Implement data encryption
Ensure compliance with data governance and privacy policies
Use AWS Lake Formation and IAM
Monitor pipeline health and performance
Set up alerts and logging
How You'll Work.
Team & Collaboration
Working with Data Scientists, Analysts, and BI teams; Participate in Agile processes; Sprint planning; Retrospectives; Work with product, analytics, and data science partners
Communication Scope
Oral communications skills; Written communications skills; Ability to interface competently with other technical personnel
Full Job Description
**About Team:** RX Global aims to create unforgettable experiences for attendees and exhibitors through organizing events. Innovation, creativity, and collaboration drive the company to offer exceptional services to clients. **About the role:** This role focuses on building and maintaining scalable data pipelines and platforms using AWS, Python/SQL, and big data tools. It involves managing large datasets, optimizing ETL/ELT workflows, ensuring strong security and governance, and supporting real-time and batch data integration. The position requires hands-on experience with AWS services, DevOps practices, and Agile collaboration, along with strong problem‑solving skills and the ability to translate business needs into reliable data solutions. **Responsibilities:** Data Pipeline Development * Design and build ETL/ELT pipelines to ingest, transform, and load data. * Use AWS services like Glue, Lambda and Step Functions. * Schedule and monitor workflows using Step Functions or AWS Glue Workflows. * Create CI/CD Pipelines based on CloudFormation, Terraform, or CDK. Data Storage and Management * Manage structured and unstructured data using services like: * Amazon S3 * Amazon Glue Catalogue * Amazon DynamoDB * Amazon RDS or Aurora * Amazon Redshift * Ensure data partitioning, indexing, and lifecycle management. Data Integration * Integrate data from multiple sources (APIs, on-prem databases, third-party tools). * Use AWS Glue, Kinesis, or Kafka for real-time or batch data streaming. Performance Optimization * Tune ETL jobs and query performance on Athena or Databricks. * Optimize storage formats (e.g., Parquet, ORC) for cost and speed. Security & Compliance * Implement data encryption, IAM roles, and access policies. * Ensure compliance with data governance and privacy policies (GDPR). * Use AWS Lake Formation and IAM for access control and auditing. Monitoring & Maintenance * Monitor pipeline health and performance using CloudWatch, CloudTrail, and custom dashboards. * S
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