- Employment type
- Contract
- Experience level
- Senior · 6+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available
This job has expired
This position at KTek Resourcing is no longer accepting applications. The original posting remains below for reference.
Expired Oct 15, 2026
Original job posting
Design, build, and maintain scalable cloud data solutions and ETL/ELT pipelines across AWS and Google Cloud, including API-based ingestion and batch, near-real-time, and CDC patterns. Orchestrate and monitor workflows with Apache Airflow, and support source control, CI/CD, release automation, and consistent DevOps practices.
Job details
We are seeking a Cloud Data Engineer to design, develop, and maintain scalable data solutions on AWS and Google Cloud Platform. The successful candidate will build reliable data ingestion and processing pipelines, automate workflows, and support efficient deployment through modern DevOps practices. Responsibilities: Develop cloud data solutions using AWS Athena, Amazon S3, AWS Glue Data Catalog, and Google BigQuery. Design and implement API-based data ingestion and integration processes. Consume REST APIs, extract data, and transform it for analytical use. Develop batch, near-real-time, and change data capture (CDC) ingestion patterns. Build and maintain ETL/ELT data pipelines. Use Apache Airflow for workflow scheduling and pipeline orchestration. Manage pipeline dependencies, monitoring, alerts, error handling, and recovery. Use GitHub for source control and collaborative development. Develop and maintain CI/CD pipelines and release automation. Support deployment processes and promote consistent DevOps practices across data engineering initiatives. Skills: 6+ years experience Developing cloud data solutions using AWS Athena, Amazon S3, AWS Glue Data Catalog, and Google BigQuery. Design and implement API-based data ingestion and integration processes. Consume REST APIs, extract data, and transform it for analytical use. Develop batch, near-real-time, and change data capture (CDC) ingestion patterns. Build and maintain ETL/ELT data pipelines. Use Apache Airflow for workflow scheduling and pipeline orchestration. Manage pipeline dependencies, monitoring, alerts, error handling, and recovery. Use GitHub for source control and collaborative development. Develop and maintain CI/CD pipelines and release automation. Support deployment processes and promote consistent DevOps practices across data engineering initiatives.
What you’ll do
Design, build, and maintain scalable cloud data solutions and ETL/ELT pipelines across AWS and Google Cloud, including API-based ingestion and batch, near-real-time, and CDC patterns. Orchestrate and monitor workflows with Apache Airflow, and support source control, CI/CD, release automation, and consistent DevOps practices.
Requirements
Requires 6+ years of experience developing cloud data solutions with AWS Athena, Amazon S3, AWS Glue Data Catalog, and Google BigQuery. Candidates should have experience with REST API ingestion, data transformation, ETL/ELT pipelines, Apache Airflow, GitHub, CI/CD, and pipeline monitoring and recovery.
Listed skills
- GitHub · Preferred
- REST APIs · Preferred
- CI/CD · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- AWS Athena
- Amazon S3
- AWS Glue Data Catalog
- Google BigQuery
- API-Based Data Ingestion
- REST APIs
- Data Transformation
- Batch Ingestion
- Near-Real-Time Ingestion
- Change Data Capture
- ETL/ELT Pipelines
- Apache Airflow
- Pipeline Monitoring
- GitHub
- CI/CD
- DevOps
Job areas
- Technology
- Data & Analytics
- Software
- Engineering
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