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Senior Data Engineer-85823Y0474

RightTalents

Brooklyn, New York • Yesterday

Easy Apply

Contract, Third Party

Depends on Experience

Job Details

Skills

ETL
Azure
Data Lake Databricks
Data Factory

Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10448281
Position Id: 843-11826-1786370258
Posted 1 day ago

Fitment

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Job Details

Skills

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Summary

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

Dice Id: 10448281
Position Id: 843-11826-1786370258
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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