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Senior Data Engineer-85823Y0474

RightTalentsBrooklyn, NY🇺🇸United StatesPosted 10 Aug 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

Title: Senior Data Engineer-85823Y0474   

Client: NYC Agency 

Duration:  12 Months 

Work week: 35 hours per week 

Location:  Brooklyn,NY,11201 

 

2 MTC Brooklyn/Remote an option with onsite visits for critical meetings as needed Brooklyn,NY,11201 

RESPONSIBILITIES 

  • 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. 

  • 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. 

MANDATORY SKILLS 

  • 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, Google Cloud Platform 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 

 

Skills

Oracle
SQL
SQL Server
ETL
Looker
Snowflake
Agile
Airflow
Azure
Databricks
Git
Google Cloud
Java
Power BI
Python
Redshift

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