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Urgent! Cloud Data Engineer (AWS/Azure/GCP) Job Opening In New York – Now Hiring Cleo Consulting

Cloud Data Engineer (AWS/Azure/GCP)



Job description

<div><b>Job Title: Cloud Data Engineer (AWS/Azure/GCP)</b></div> <div><b>Location: Onsite/Hybrid USA EST Coast</b></div> <div><b>Duration: Long Term Contract</b></div> <p><b>Primary Skills: </b>cloud platforms (AWS, Azure, and GCP)<b> </b></p> <p>SQL/NoSQL databases (Snowflake, MongoDB, Cassandra, etc.).</p> <p><b>Job Summary</b></p> <ul> <li>We are seeking an experienced Cloud Data Engineer to design and implement enterprise-level data solutions across cloud platforms (AWS, Azure, and GCP).

The role requires expertise in data strategy, modern cloud data platforms, and advanced analytics solutions, ensuring scalability, performance, and security.</li> </ul> <p><b>Key Responsibilities</b></p> <ul> <li>Design, build, and optimize cloud-based data architecture leveraging AWS, Azure, and GCP services.</li> <li>Develop data lake, data warehouse, and real-time streaming solutions for enterprise-scale workloads.</li> <li>Define and implement data governance, security, and compliance policies across multi-cloud environments.</li> <li>Collaborate with stakeholders, business teams, and data engineers to translate business requirements into technical data solutions.</li> <li>Build ETL/ELT pipelines and integrate data from structured and unstructured sources.</li> <li>Provide architecture best practices, patterns, and frameworks for cloud-based data solutions.</li> <li>Evaluate emerging cloud-native technologies and recommend adoption strategies.</li> <li>Ensure performance optimization, scalability, disaster recovery, and cost efficiency of cloud data platforms.</li> <li>Lead proof-of-concepts (POCs) and guide engineering teams in cloud data solution implementation.</li> </ul> <p><b>Required Skills & Qualifications</b></p> <p>Bachelor's or Master's in Computer Science, Data Engineering, Information Systems, or related field.</p> <p>6+ years of experience in data engineering, with at least 4+ years in cloud platforms (AWS, Azure, GCP).</p> <p><b>Strong hands-on experience in:</b></p> <ul> <li>AWS: Redshift, Glue, Athena, S3, EMR, Kinesis</li> <li>Azure: Synapse, Data Lake, Databricks, Data Factory</li> <li>GCP: BigQuery, Dataflow, Dataproc, Pub/Sub</li> <li>Expertise in SQL/NoSQL databases (Snowflake, MongoDB, Cassandra, etc.).</li> <li>Proficiency in big data & analytics frameworks (Spark, Kafka, Hadoop).</li> <li>Experience with ETL/ELT tools (Informatica, Talend, dbt, Matillion, etc.).</li> <li>Knowledge of security & compliance frameworks (GDPR, HIPAA, SOC2).</li> <li>Excellent communication, stakeholder management, and leadership skills.</li> </ul> <p><b>Preferred Qualifications</b></p> <ul> <li>Certifications: AWS Certified Data Analytics /Azure Data Engineer, GCP Professional Data Engineer.</li> <li>Experience with data mesh, data fabric, and AI/ML pipelines.</li> <li>Strong understanding of DevOps/DataOps practices and CI/CD for data pipelines</li> </ul> <p> </p>


Required Skill Profession

Computer Occupations



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