THIS POSITION WILL ALLOW 35.00 - HOURS PER WEEK. PLEASE DO NOT ASSUME THAT OVERTIME WILL BE ALLOWED. Job Title: Senior Data Engineer Location: Brooklyn,NY, US Brooklyn,NY,11201 Duration: 12 Months Months Job Description:
Remote: Monday- Friday; 9-5
SCOPE OF SERVICES
Collaborate with stakeholders to define and understand data needs.
Design and develop efficient data architectures that can support large-scale data processing and storage requirements.
Develop and maintain data pipelines, data models, and ETL processes that align with business requirements, data quality standards, and industry best practices.
Work closely with other data engineering teams to build and maintain reusable data pipelines and tools, enabling faster time-to-market for data-driven solutions.
Monitor, troubleshoot, and optimize data pipelines and processes for performance, reliability, and scalability.
Ensure the quality and integrity of various datasets across different platforms and data sources.
Continuously evaluate and recommend emerging technologies and methodologies to improve data engineering processes, workflows, and performance.
Mentor and guide junior data engineers on technical best practices, code reviews, and design patterns to ensure high-quality, scalable, and maintainable data engineering solutions.
Perform special technology-related projects, as assigned.
12+ years of experience in data engineering with a focus on designing and building scalable data platforms using cloud technologies.
Strong experience designing and implementing data models and schemas in Snowflake.
Define Snowflake databases objects to support efficient data storage and retrieval.
Expert proficiency in SQL and one or more programming languages such as Python, Java, or Scala.
Knowledge of cloud-based data platforms such as AWS, Azure, or GCP, including experience with cloud-based storage, compute, and data processing services.
Experience designing and implementing ETL and data integration pipelines, and familiarity with data modeling concepts and database design principles.
Excellent communication skills and the ability to collaborate effectively with cross-functional teams.
Experience with Agile methodologies and working in an Agile team environment.
Experience developing production-grade, large-scale data solutions using cloud technologies.
Experience managing data orchestration at scale using tools such as Airflow and Dagster.
Familiarity with version control systems (e.g., Git) and CI/CD principles.
Experience developing dashboards and reports in applications such as Oracle Analytics Server (OAS), Microsoft Power BI, and Google Looker.
Thorough experience with data integration tools such as Informatica Intelligent Cloud Services and MuleSoft.
Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
Experience with Azure Monitoring services
Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one