AWS Data Engineer
Clera
WorldwideremotePosted 1 month ago
Skill Required
AWS-Data-EngineerAWS-ETL-Data-EngineerAWS-Data-EngineeringAWS-Cloud-Data-EngineeringCloud-Data-EngineerData-EngineerData EngineerAWSdata engineeringGitHub ActionsCD pipelinesEngineeringPostgreSQLautomationdesigningCOBOLbuildingEmbedded CMongoDBdesignGitKafkaCI/CDCloudETLandCICDAIFulltime
Key highlights
- $65/hr on a W2 basis
- 5+ years of professional Data Engineering experience required
- 100% remote
- Hands-on production experience with AWS Glue required
Role overview
This is a fully hands-on, individual contributor Data Engineering role embedded within a data infrastructure initiative at a large enterprise. You will own the full lifecycle of AWS-based data pipelines, from ingesting and streaming source data through to delivering clean, consumer-ready datasets for downstream use.
Responsibilities
- Stream and process source data from mainframe and legacy systems, loading it into AWS S3.
- Design and implement ETL/ELT workflows using AWS Glue.
- Perform data reconciliation, validation, and quality checks to ensure data accuracy and reliability.
- Curate and transform data, provisioning clean datasets through AWS Aurora and RDS (PostgreSQL).
- Manage S3 storage including data retention policies, archival strategies, and lifecycle management.
- Automate workflows and manage deployments using GitHub and GitHub Actions-based CI/CD pipelines.
- Leverage AI tools to improve engineering productivity and automate data workflows.
Requirements
- 5 or more years of professional Data Engineering experience building and delivering data pipelines, ETL/ELT workflows, or data platform solutions.
- Hands-on production experience with AWS Glue for designing and implementing ETL/ELT workflows.
- Strong working knowledge of AWS cloud services including S3, RDS/Aurora, and Glue.
- Demonstrated experience building and maintaining data streaming pipelines using Kafka.
- Experience implementing data reconciliation, data quality checks, and validation processes.
- Proficiency with GitHub repository management and GitHub Actions for CI/CD automation.
- Experience using AI tools to automate workflows and improve productivity.
- Ability to take ownership of deliverables and drive work to completion with minimal oversight.
Nice to have
- Experience with mainframe data sources or legacy system integration is a plus.
- Familiarity with MongoDB or other NoSQL databases is a plus.
Benefits
- This role pays $65/hr on a W2 basis.
- This role is 100% remote.
Additional details
- Originally posted on Himalayas.