Senior Data Engineer-85823Y0474
Quick Overview
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
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Be experienced in Data Engineering best practices, technologies, tools and processes.
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Bring sound knowledge of Data Warehouses and LakeHouse concepts and practical implementation experience.
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Build a framework of repeatable solutions and playbooks enabling efficient and predictable data pipelines.
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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.
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Maintain query performance and tuning to ensure cost optimization.
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Participate in joint application development sessions with co-engineers and end users and be willing to brainstorm.
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Complete technical documentation and be willing to transfer knowledge as needed.
MANDATORY SKILLS
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12+ years developing Data Pipelines / Flows using ETL/ELT tools and technologies.
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10+ years of strong SQL fluency (query optimization, windowing functions, aggregation, etc.).
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5+ years building complex Analytics and Reporting solutions.
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3+ years’ experience with a cloud data lake/warehouse solution (Snowflake, Redshift, Google Cloud Platform etc.).
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Hands on experience working with data integration tools like Informatica Intelligent Cloud Services, Informatica Power Center or SSIS or a similar tool.
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Extensive experience developing production grade, large scale data solutions.
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Experience performing conceptual, logical, and physical data modeling using data modeling tools in complex, large-scale environments.
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Experience working with Microsoft Azure cloud computing platform and services.
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Experience managing data orchestration at scale using tools such as Airflow, Prefect and Dagster.
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Experience with traditional RDMS platforms (Oracle and SQL Server).
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Experience working with version control systems (e.g., Git)
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Good understanding of CI/CD principles.
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Experience developing dashboards and reports in applications such as Oracle Analytics Server (OAS), Microsoft Power BI and Google Looker
DESIRABLE SKILLS/EXPERIENCE:
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Experience using Azure services for Security, Blob Storage, Data Lake, Databricks, Data Factory etc.
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Programming experience with Python or Java
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Experience with Azure Monitoring services
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Microsoft Certified Azure Solutions Architect Expert or a Snowpro Certification or a similar one
Skills
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