ETL Databricks Engineer

SOFT's client located in New York, NY is looking for a ETL Databricks Engineer for a long term contract assignment.

Qualifications:
What we are looking for:
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.

Responsibilities:
Your role as a Senior Data Engineer
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.

Please refer to the Position ID when inquiring about a job posting or sending in your resume.

***INDEPENDENT CONSULTANTS ONLY! NO THIRD PARTIES/NO SUB CONTRACTORS***