Senior Cloud Data Platform Engineer
Global Channel Management, IncNew York, New York, United States • Charlotte, North Carolina, United States • New Jersey, United States
Posted January 5, 2026
87 - 88 USD
Full Time
About the Company
Global Channel Management, Inc. is a technology‑driven staffing solutions provider that delivers end‑to‑end recruiting, staff augmentation, and service management to help organizations source and retain high‑skill professionals while controlling training and labor costs. Leveraging a decade‑long team of seasoned account managers and recruiters, the company customizes talent acquisition strategies to address fluctuating skill gaps, project demands, and timeline constraints across software, hardware, and IT services. Its adaptive approach blends employment, placement, sourcing, consulting, and project management to optimize operational efficiency and align workforce capabilities with each client’s unique business objectives. By focusing on cost‑effective talent delivery and continuous service management, Global Channel Management distinguishes itself as a partner that delivers both skilled talent and strategic staffing insight.
Job Description
Senior Cloud Data Platform Engineer needs 5+ years of implementing data applications or data platforms with BigData/Hadoop, Python/Java/Spark full stack, etc. The role involves designing, developing, and delivering cloud datastore solutions, automation pipelines, and infrastructure as code.
Requirements
- 5+ years of implementing data applications or data platforms with BigData/Hadoop, Python/Java/Spark full stack, etc.
- Master's or Bachelor's degree in computer science or related discipline
- Ability to type a minimum of 50 wpm accurately
- Excellent documentation skills to create and manage design, implementation and automation related documentation
- Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
- Experience on implementing solutions with Workflow orchestration/scheduling tools such as Airflow, Autosys etc.
- Experience building CI/CD pipelines for infrastructure implementations with Teraform, Gitlab etc.
- 5+ year support experience of Big Data technologies in Hadoop ecosystem Hive, HDFS, MapReduce, Spark, Yarn, Kafka, Pig, HBase, Sqoop, Elastic Search, Kerberos.
- 5+ year experience with ETL/ELT tools such as AWS Glue ETL, Talend, Datastage etc.
- 5+ year experience with Orchestration tools such as Airflow, Autosys etc.
- Experience with Jira and Agile methodology is a plus;
- Experience with understanding DevOps or CI/CD process w.r.t to infrastructure management activities