Senior Cloud Data Platform Engineer

Global Channel Management, Inc; New York (NY); Hybrid; USD 120,000 - 160,000; Full time

Job summary

A prominent tech company is looking for a Senior Cloud Data Platform Engineer with extensive experience in data applications and cloud technologies. The role involves designing data lake ingestion and managing CI/CD pipelines in a hybrid work environment. Candidates should have strong skills in BigData technologies, data orchestration tools, and a relevant degree. Offering competitive compensation and a dynamic work setup.

Qualifications

• 5+ years of implementing data applications or data platforms.
• Experience in Hadoop distribution platforms like Cloudera.
• Expertise in designing and managing cloud data tools.

Responsibilities

• Ensure delivery of project tasks as required.
• Create and manage design and documentation.
• Collaborate with developers and analysts on business requirements.

Skills

Implementing data applications

BigData/Hadoop

Python/Java/Spark full stack

Designing data lake ingestion

CI/CD pipelines

Agile environment experience

Education

Masters or Bachelor's degree in computer science or related discipline

Tools

Hadoop

AWS EMR

Apache Airflow

Terraform

Gitlab

Job description

About the job Senior Cloud Data Platform Engineer

Senior Cloud Data Platform Engineer needs 5+ years of implementing data applications or data platforms with BigData/Hadoop, Python/Java/Spark full stack, etc.

• Locations: Charlotte, NC; Iselin, NJ; NY, NY
• Hybrid role must be in office 2 days a wee
• Ability to type a minimum of 50 wpm accurately.
• Masters or Bachelor's degree in computer science or related discipline
• Manage and ensure delivery of project tasks as required
• Excellent documentation skills to create and manage design, implementation and automation related documentation
• Implementation experience for Hadoop distribution platforms like Cloudera or AWS EMR.
• Extensive experience in designing, engineering and managing data lake ingestion, validation, transformation and consumption services leveraging cloud data tools like Hive, Spark, EMR, Glue ETL and Catalog, Snowflake etc.
• Experience on implementing solutions with Worflow orchestration/scheduling tools such as Airflow, Autosys etc.
• Experience building CI/CD pipelines for infrastructure implementations with Teraform, Gitlab etc.
• Must be ability to multi-task and prioritize tasks for self
• Must experience working in agile environment with multiple priorities

Preferred Skills:

• 5+ years of implementing data applications or data platforms with BigData/Hadoop, Python/Java/Spark full stack, 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
• Design, develop and deliver cloud datastore solutions and develop automation pipelines to migrate data sets from On-prem to Cloud platforms. Practice Infrastructure as code to develop automation routines and integration flows to manage state of the datastore platform systems
• Provision secures from start datastores and enable them with required security controls including encryption, masking, certificate/keys rotation etc.
• Collaborates with developers, analysts, various system administrators to identify business requirements in designing efficient datastore solutions and interfaces.
• Identifies and documents all system constraints, implications, and consequences of various proposed system changes.
• Reviews technical documentation to guide system users and to assist with the ongoing operation, maintenance, and development of the system. Evaluates the efficiency and effectiveness of application operations and troubleshooting problems.