Role Cloud Data Platform Engineer
Location Iselin NJ
Type Contract
About the Role:
We are seeking a skilled Cloud Data Platform Engineer to design develop and maintain our cloud-based data infrastructure. The ideal candidate will have extensive experience working with cloud platforms data engineering pipelines and modern data tools to enable scalable analytics and data-driven decision-making.
Key Responsibilities:
- Design implement and maintain cloud data platforms leveraging Azure Cloud.
- Develop and optimize ETL/ELT pipelines to transform raw data into actionable insights.
- Manage and configure cloud-based data warehouses data lakes and data platforms such as Databricks Snowflake and Redshift.
- Collaborate with data scientists analysts and stakeholders to understand data requirements and deliver scalable solutions.
- Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Maintain and optimize cluster configurations notebooks jobs and workspace components within Databricks.
- Monitor cloud data platform performance troubleshoot issues and implement improvements.
- Promote best practices in DevOps CI/CD pipelines and data security.
- Stay abreast of new cloud and data engineering trends and incorporate innovative approaches.
Required Skills & Qualifications:
- Overall 8 years of experience in IT is required
- Proven experience with cloud platforms such as Azure AWS or Google Cloud.
- Strong understanding of data warehousing data lakes and ETL processes.
- Programming experience in Python Java or Scala.
- Deep expertise with cloud data platforms particularly Databricks; knowledge of Snowflake Redshift etc. is a plus.
- Solid understanding of Databricks architecture-including clusters notebooks jobs and workspace management.
- Familiarity with relational databases and NoSQL technologies.
- Hands-on experience with Infrastructure as Code tools (Terraform CloudFormation).
- Understanding of CI/CD practices automation and DevOps principles.
- Excellent analytical problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities across multidisciplinary teams.
- Experience in Financial domain is must
Preferred Qualifications:
- Prior experience working in agile development environments.
- Certifications in cloud platforms or data engineering (e.g. Azure Data Engineer AWS Certified Data Analytics Databricks certification).
Role Cloud Data Platform Engineer Location Iselin NJ Type Contract About the Role: We are seeking a skilled Cloud Data Platform Engineer to design develop and maintain our cloud-based data infrastructure. The ideal candidate will have extensive experience working with cloud platforms da...
Role Cloud Data Platform Engineer
Location Iselin NJ
Type Contract
About the Role:
We are seeking a skilled Cloud Data Platform Engineer to design develop and maintain our cloud-based data infrastructure. The ideal candidate will have extensive experience working with cloud platforms data engineering pipelines and modern data tools to enable scalable analytics and data-driven decision-making.
Key Responsibilities:
- Design implement and maintain cloud data platforms leveraging Azure Cloud.
- Develop and optimize ETL/ELT pipelines to transform raw data into actionable insights.
- Manage and configure cloud-based data warehouses data lakes and data platforms such as Databricks Snowflake and Redshift.
- Collaborate with data scientists analysts and stakeholders to understand data requirements and deliver scalable solutions.
- Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
- Maintain and optimize cluster configurations notebooks jobs and workspace components within Databricks.
- Monitor cloud data platform performance troubleshoot issues and implement improvements.
- Promote best practices in DevOps CI/CD pipelines and data security.
- Stay abreast of new cloud and data engineering trends and incorporate innovative approaches.
Required Skills & Qualifications:
- Overall 8 years of experience in IT is required
- Proven experience with cloud platforms such as Azure AWS or Google Cloud.
- Strong understanding of data warehousing data lakes and ETL processes.
- Programming experience in Python Java or Scala.
- Deep expertise with cloud data platforms particularly Databricks; knowledge of Snowflake Redshift etc. is a plus.
- Solid understanding of Databricks architecture-including clusters notebooks jobs and workspace management.
- Familiarity with relational databases and NoSQL technologies.
- Hands-on experience with Infrastructure as Code tools (Terraform CloudFormation).
- Understanding of CI/CD practices automation and DevOps principles.
- Excellent analytical problem-solving and troubleshooting skills.
- Strong communication and collaboration abilities across multidisciplinary teams.
- Experience in Financial domain is must
Preferred Qualifications:
- Prior experience working in agile development environments.
- Certifications in cloud platforms or data engineering (e.g. Azure Data Engineer AWS Certified Data Analytics Databricks certification).
View more
View less