Job Description
Title - Sr. Data Platform Engineer
Location - Miramar, Dallas or Remote
Duration - 6 Months
Must Have - Informatica, Databricks
Job Description
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.
Key Responsibilities
" Design, develop, and maintain scalable ETL pipelines and integration frameworks.
" Administer and optimize Databricks and Apache Spark environments for data engineering workloads.
" Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.
" Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.
" Automate platform operations using Python, PySpark, and infrastructure-as-code tools.
" Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.
" Provide technical leadership and mentorship to junior developers and third-party teams.
" Create and maintain technical documentation and training materials.
" Troubleshoot recurring issues and implement long-term resolutions.
Minimum Qualifications
" Bachelor s or Master s degree in Computer Science or related field.
" 5+ years of experience in data engineering or platform administration.
" 3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.
Required Technical Skills
" Strong programming skills in Python and PySpark.
" Expertise in Databricks, Apache Spark, and Delta Lake.
" Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and maintenance
Location - Miramar, Dallas or Remote
Duration - 6 Months
Must Have - Informatica, Databricks
Job Description
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.
Key Responsibilities
" Design, develop, and maintain scalable ETL pipelines and integration frameworks.
" Administer and optimize Databricks and Apache Spark environments for data engineering workloads.
" Build and manage data workflows using AWS services such as Lambda, Glue, Redshift, SageMaker, and S3.
" Support and troubleshoot DataOps pipelines, ensuring reliability and performance across environments.
" Automate platform operations using Python, PySpark, and infrastructure-as-code tools.
" Collaborate with cross-functional teams to support data ingestion, transformation, and deployment.
" Provide technical leadership and mentorship to junior developers and third-party teams.
" Create and maintain technical documentation and training materials.
" Troubleshoot recurring issues and implement long-term resolutions.
Minimum Qualifications
" Bachelor s or Master s degree in Computer Science or related field.
" 5+ years of experience in data engineering or platform administration.
" 3+ years of experience in integration framework development with a strong emphasis on Databricks, AWS, and ETL.
Required Technical Skills
" Strong programming skills in Python and PySpark.
" Expertise in Databricks, Apache Spark, and Delta Lake.
" Proficiency in AWS CloudOps, Cloud Security, including configuration, deployment, and maintenance
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