Senior Data Engineer in Brooklyn, NY

  • Title: Senior Data Engineer
  • Code: RCI-85823Y0474
  • RequirementID: 106833
  • Location: Brooklyn, NY 11201
  • Posted Date: 03/14/2023
  • Duration: 12 Months
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  Job Description

Remote an option with onsite visits for critical meetings as needed


Normal business hours Monday-Friday 35 hours/week 





  • Be experienced in Data Engineering best practices, technologies, tools and processes.
  • Bring sound knowledge of Data Warehouses and LakeHouse concepts and practical implementation experience.
  • Build a framework of repeatable solutions and playbooks enabling efficient and predictable data pipelines.
  • Have hands-on development experience in the implementation of an agile, cloud centric data warehousing and reporting platform with team members of various experience level.
  • Interact with clients, both technical and non-technical stakeholders.
  • Handle relationships with end users. Interact regularly to gather feedback, listen to their issues and concerns, and recommend solutions.
  • Meet critical deadlines and deliver in short sprints.
  • Ensure successful delivery of new reports and dashboards as needed.
  • Maintain and curate data documentation – including Architectural Decision Records (ADR), how-to guides, data lineage and ownership using Azure DevOps or similar tool.
  • Maintain query performance and tuning to ensure cost optimization.
  • Participate in joint application development sessions with co-engineers and end users and be willing to brainstorm.
  • Complete technical documentation and be willing to transfer knowledge as needed.



  • 12+ years developing Data Pipelines / Flows using ETL/ELT tools and technologies.
  • 10+ years of strong SQL fluency (query optimization, windowing functions, aggregation, etc.).
  • 5+ years building complex Analytics and Reporting solutions.
  • 3+ years’ experience with a cloud data lake/warehouse solution (Snowflake, Redshift, GCP etc.).
  • Hands on experience working with data integration tools like Informatica Intelligent Cloud Services, Informatica Power Center or SSIS or a similar tool.
  • Extensive experience developing production grade, large scale data solutions.
  • Experience performing conceptual, logical, and physical data modeling using data modeling tools in complex, large-scale environments.
  • Experience working with Microsoft Azure cloud computing platform and services.
  • Experience managing data orchestration at scale using tools such as Airflow, Prefect and Dagster.
  • Experience with traditional RDMS platforms (Oracle and SQL Server).
  • Experience working with version control systems (e.g., Git)
  • Good understanding of CI/CD principles.
  • Experience developing dashboards and reports in applications such as Oracle Analytics Server (OAS), Microsoft Power BI and Google Looker.


Desirable Skills/Experience:

  • Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
  • Programming experience with Python or Java
  • Experience with Azure Monitoring services
  • Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one

About Rangam:

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