The Custom Group of Companies · 2 days ago
Data Engineer - III
United States
Contract
Remote
Senior LevelThe Custom Group of Companies is seeking a Senior Data Engineer to migrate applications to cloud service providers and develop products using the latest technologies. The role involves building cloud infrastructure, automating processes, and collaborating with business stakeholders to achieve goals through agile methodologies.
ConsultingHuman ResourcesLegalStaffing Agency
Responsibilities
Work on migrating applications from an on-premises location to the cloud service providers
Develop products and services on the latest technologies through contributions in development, enhancements, testing and implementation
Develop, modify, extend code for building cloud infrastructure, and automate using CI/CD pipeline
Partners with business and peers in the pursuit of solutions that achieve business goals through an agile software development methodology
Perform problem analysis, data analysis, reporting, and communication
Work with peers across the system to define and implement best practices and standards
Assess applications and help determine the appropriate application infrastructure patterns
Use the best practices and knowledge of internal or external drivers to improve products or services
Hands-on experience in building ETL using Databricks SaaS infrastructure
Experience in developing data pipeline solutions to ingest and exploit new and existing data sources
Expertise in leveraging SQL, programming language like Python and ETL tools like Databricks
Perform code reviews to ensure requirements, optimal execution patterns and adherence to established standards
Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS, DynamoDB), AWS Data Integration (Glue)
Advanced understanding of Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Good understanding of AWS Identify and Access management, AWS Networking and AWS Monitoring tools
Proficiency in CI/CD and deployment automation using GITLAB pipeline
Proficiency in Cloud infrastructure provisioning tools e.g., Terraform
Proficiency in one or more programming languages e.g., Python, Scala
Experience in Starburst, Trino and building SQL queries in federated architecture
Good knowledge of Lake house architecture
Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark (PySpark and Scala)
Build data ingestion workflows from various sources (structured, semi-structured, and unstructured)
Develop reusable components and frameworks for efficient data processing
Implement best practices for data quality, validation, and governance
Collaborate with data architects, analysts, and business stakeholders to understand data requirements
Tune Spark jobs for performance and scalability in a cloud-based environment
Maintain robust data lake or Lakehouse architecture
Ensure high availability, security, and integrity of data pipelines and platforms
Support troubleshooting, debugging, and performance optimization in production workloads
Qualification
Required
Hands-on experience in building ETL using Databricks SaaS infrastructure
Experience in developing data pipeline solutions to ingest and exploit new and existing data sources
Expertise in leveraging SQL, programming language like Python and ETL tools like Databricks
Perform code reviews to ensure requirements, optimal execution patterns and adherence to established standards
Computer Science or Equivalent
Expertise in AWS Compute (EC2, EMR), AWS Storage (S3, EBS), AWS Databases (RDS, DynamoDB), AWS Data Integration (Glue)
Advanced understanding of Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services
Good understanding of AWS Identify and Access management, AWS Networking and AWS Monitoring tools
Proficiency in CI/CD and deployment automation using GITLAB pipeline
Proficiency in Cloud infrastructure provisioning tools e.g., Terraform
Proficiency in one or more programming languages e.g., Python, Scala
Experience in Starburst, Trino and building SQL queries in federated architecture
Good knowledge of Lake house architecture
Design, develop, and optimize scalable ETL/ELT pipelines using Databricks and Apache Spark (PySpark and Scala)
Build data ingestion workflows from various sources (structured, semi-structured, and unstructured)
Develop reusable components and frameworks for efficient data processing
Implement best practices for data quality, validation, and governance
Collaborate with data architects, analysts, and business stakeholders to understand data requirements
Tune Spark jobs for performance and scalability in a cloud-based environment
Maintain robust data lake or Lakehouse architecture
Ensure high availability, security, and integrity of data pipelines and platforms
Support troubleshooting, debugging, and performance optimization in production workloads
Company
The Custom Group of Companies
For over 30 years, The Custom Group of Companies has been a leader in the recruitment industry, providing temporary/consulting, direct hire, and executive search services throughout New York.
Founded in 1986
51-200 employees
Funding
Current Stage
Growth StageLeadership Team
Andrew Norton
Managing Director/Partner
Company data provided by crunchbase