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Data Engineer at Remote, Remote, USA
Email: [email protected]
From:

Naresh,

Avance Consulting

[email protected]

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Role:"Data Engineer"

Location: Chicago,Illinois,United States

Remote

You can reach me at mailto [email protected]

Job Description

The data engineer considers themselves an expert in data management with cloud technologies. The data engineer leads the definition and implementation of data pipelines, data storage, and data access/security for a complex Azure hosted application environment. They are responsible for curating a sustainable and scalable data environment, servicing a mix of business. A number of operational data sources will require integration, data structuring/cleaning, ETL and data quality reviews on an ongoing basis. The data engineer works closely with the digital business infrastructure operations (DBIO) lead and analytics lead, and to ensure data quality, performance, and structure requirements scale with the customer needs.  

The data engineer will be working within a team setting and will support a range of data requirements, supporting cloud operations/monitoring, mobile application analytics, and user personalization use cases for a global 100 technology leading client. The environment is fast-paced and dynamic and will provide a range of requirements expected to evolve.  

Requirements:   

High-level proficiency in data engineering  

Proficiency in data engineering best practices  

Deep experience with Azure data management related services and related data architectures  

Knowledge of security standardsfor Azure data environments  

Bachelor of Science in Computer Science or other relevant experience   

Experience with Java, Python, SQL, and noSQL  

Responsibilities:   

Configure data sources for data loading, batch, and continuous data streaming  

Configure and implement ETL operations  

Configuring data storage tools / platforms  

Support enterprise architect for data architecture strategy and design  

Develop data models in support of data architecture  

Lead data lake design and implementation, aligned with data architecture  

Data set curation, cleaning, loading  

Integrate analytics and monitoring tools with consolidated data environment  

Establishing and maintaining consolidated data lake environment  

Managing data storage resources, monitoring, data operations  

Identify areas for continuous improvement in data related technology and processes  

Create and communicate high quality technical documentation  

Interact regularly with managers, SMEs, and other technical leadership  

Desired Skills and Experience:  

Minimum 5-10 years consulting / professional services experience Azure Architect certified (Associate or Professional)  

Azure experience (data pipeline, database, network, security, CI/CD)  

Strong written/verbal communication skills  

Ability to handle ambiguity and deliver outcomes  

Experience with Snowflake or Databricks (preferred, but not required)  

Keywords: continuous integration continuous deployment
Data Engineer
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Sat May 04 05:11:00 UTC 2024

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