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Platform Automation Engineer 24-12578
Raritan, NJ
Raritan
NJ
08869
Date
: Dec-02-24
2024-12-02
2025-11-22
Platform Automation Engineer 24-12578
Raritan, NJ
Dec-02-24
Work Authorization
US Citizen
GC
H1B
GC EAD
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
Contract
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
x-Other
Consulting / Contract
CONTRACTOR
Required Skills
:
automation, datalake, databrick, data, platform engineer
Preferred Skills
:
Domain
:
Work Authorization
US Citizen
GC
GC EAD
H1B
Preferred Employment
Corp-Corp
W2-Permanent
W2-Contract
1099-Contract
Contract to Hire
Job Details
Experience
:
Senior
Rate/Salary ($)
:
Market
Duration
:
Contract
Sp. Area
:
Cloud, Salesforce, SaaS
Sp. Skills
:
x-Other
Consulting / Contract
CONTRACTOR
Required Skills
:
automation, datalake, databrick, data, platform engineer
Preferred Skills
:
Domain
:
APN Consulting Inc
Monmouth Junction, NJ
Post Resume to
View Contact Details &
Apply for Job
Job Description
:
APN Consulting has an immediate need for a direct client requirement:
Title - Platform Automation Engineer
Location: Raritan/Bridgwater/Trenton NJ
Contract
Remote/Hybrid(1 day onsite)
Note - Candidate needs to be 1 day onsite to any of the location (Raritan/Bridgwater/Trenton)
About the Role
We are seeking a skilled
Platform Automation Engineer
to design, implement, and maintain automated workflows and scalable solutions for our Databricks and Data Lake environments. You will play a pivotal role in optimizing data platform performance, ensuring data integrity, and enabling efficient data pipelines through automation.
Key Responsibilities
Platform Automation & Management:
Develop and maintain Infrastructure-as-Code (IaC) solutions for Databricks and cloud-based Data Lakes using tools like Terraform or CloudFormation.
Automate deployment, scaling, and management of Databricks clusters and services.
Implement monitoring, logging, and alerting systems for platform performance and uptime.
Data Engineering Support:
Collaborate with data engineering teams to design and deploy automated ETL pipelines for data ingestion, transformation, and processing.
Optimize Data Lake storage patterns and structures for high performance and cost efficiency.
Cloud Integration:
Integrate Databricks and Data Lake solutions with cloud platforms (AWS, Azure, GCP).
Configure secure connections for external data sources and downstream applications.
Security & Compliance:
Implement automated security controls, ensuring compliance with organizational and regulatory standards.
Conduct regular audits to verify access controls, encryption, and data integrity.
Continuous Improvement:
Evaluate new tools and technologies to enhance platform efficiency and automation.
Design and implement CI/CD pipelines for Databricks notebooks and data workflows.
Required Qualifications
Education:
Bachelor's degree in Computer Science, Engineering, or related field.
Experience:
3+ years of experience in platform automation, infrastructure engineering, or DevOps roles.
Hands-on experience with Databricks, Spark, and large-scale data platforms.
Expertise in Data Lake architecture and management (e.g., Delta Lake, Apache Iceberg).
Proficiency in scripting/programming languages (Python, Scala, Shell).
Strong knowledge of cloud platforms (AWS S3, Azure Data Lake, GCP BigQuery).
Preferred Skills
Familiarity with orchestration tools like Apache Airflow or Azure Data Factory.
Experience with containerization and Kubernetes for scalable application deployments.
Certification in Databricks, AWS, Azure, or GCP.
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