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7190-A - Data Catalog Developer
7190-A - Data Catalog DeveloperDirect Recruit Agency • New York, NY, US
7190-A - Data Catalog Developer

7190-A - Data Catalog Developer

Direct Recruit Agency • New York, NY, US
30+ days ago
Job type
  • Full-time
Job description

Job Description

Job Description

, on-site

J ob Title : Data Catalog Developer

Company : Direct Recruit Agency

Contract Details : Full-time, on-site

We are seeking a highly skilled and experienced Data Catalog Developer to join our team at Direct Recruit Agency. As a Data Catalog Developer, you will be responsible for designing, developing, and maintaining data catalogs for our clients. This is a full-time, on-site position that offers a competitive salary and benefits package.

Pay rate 100-105 / hr w2

  • Expertise in Collibra is a must.
  • Will be building Collibra Data Catalog-
  • Experience in the new Collibra software - Edge
  • Top must-have hard skills :
  • Expertise in Collibra Data Management, Data Asset, Data Governance, and BAU support of Collibra Data Catalog.
  • Edge Server experience is a must. Collibra Ranger certification preferred.
  • Top nice-to-have hard skills : Databricks, AWS ( S3, Glue, Aurora Postgres, Athena), SQL
  • Top soft skills : Communication, Problem-Solving, Collaboration, Attention to Detail .
  • Team size : 10 Key aspects of the role :
  • Development of Data Catalog, build Collibra workflows, and Integrate Edge server with various data sources, authentication, and access controls.
  • Day-to-day Expectations : Data Catalog build out, Metadata Synchronization, Lineage Harvester
  • Interview Plan / Process : Two virtual Interviews and one final On-site interview
  • Citizenship : USC only

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, and 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.
  • Qualifications :

    What we are looking for :

  • Bachelor's degree in Computer Science, Information Systems, or a related field
  • Minimum of 3 years of experience as a Data Catalog Developer or in a similar role
  • 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 languages 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 Identity 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 a 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.
  • If you are a highly motivated and skilled Data Catalog Developer looking for a challenging and rewarding opportunity, we encourage you to apply for this position. Join our dynamic team at Direct Recruit Agency and be a part of our mission to provide top-notch data solutions to our clients.

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