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Urgent! Data Engineer Job Opening In USA, USA – Now Hiring Openkyber



Job description

<p><b>Job Title:</b> Lead Data Platform Engineer</p> <p><b>Location:</b> Miramar, FL/ Dallas, TX</p> <p><b>Contract</b></p> <p><b>Summary</b></p> <p>Are you passionate about building and supporting modern data platforms in the cloud?

We're looking for a Sr. Data Platform Engineer who thrives in a hybrid role-60% administration and 40% development/support-to help us scale our data and DataOps infrastructure.

You'll work with cutting-edge technologies like Databricks, Apache Spark, Delta Lake, and AWS CloudOps, Cloud Security, while supporting mission-critical data pipelines and integrations.

If you're a hands-on engineer with strong Python skills, deep AWS experience, and a knack for solving complex data challenges, we want to hear from you.</p> <p><b>Key Responsibilities</b></p> <ul> <li>Design, develop, and maintain scalable ETL pipelines and integration frameworks.</li> <li>Administer and optimize Databricks and Apache Spark environments for data engineering workloads.</li> <li>Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.</li> <li>Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.</li> <li>Automate platform operations using Python, PySpark, and infrastructure-as-code tools.</li> <li>Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.</li> <li>Provide technical leadership and mentorship to junior developers and third-party teams.</li> <li>Create and maintain technical documentation and training materials.</li> <li>Troubleshoot recurring issues and implement long-term resolutions.</li> </ul> <p><b>Minimum Qualifications</b></p> <ul> <li>Bachelor's or Master's degree in Computer Science or related field.</li> <li>5+ years of experience in data engineering or platform administration.</li> <li>3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.</li> </ul> <p><b>Required Technical Skills</b></p> <ul> <li>Strong programming skills in Python and PySpark.</li> <li>Expertise in Databricks, Apache Spark, and Delta Lake.</li> <li>Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and monitoring.</li> <li>Strong SQL skills and hands-on experience with Amazon Redshift.</li> <li>Experience with ETL development, data transformation, and orchestration tools.</li> </ul> <p><b>Nice to Have / Working Knowledge</b></p> <ul> <li>Kafka for real-time data streaming and integration.</li> <li>Fivetran and DBT for data ingestion and transformation.</li> <li>Familiarity with DataOps practices and open-source data tooling.</li> <li>Experience with integration tools such as Apache Camel and MuleSoft.</li> <li>Understanding of RESTful APIs, message queuing, and event-driven architectures.</li> </ul>


Required Skill Profession

Computer Occupations



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