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Morgan King Technology
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Data Engineer
$133k-164k (estimate)
Full Time 3 Weeks Ago
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Morgan King Technology is Hiring a Data Engineer Near New York, NY

Data Engineer Position Available

Title: Data Engineer

Minimum Qualifications:

  • Thrive in a fast-paced, cutting-edge technology environment.
  • Proven experience with data modeling and developing Enterprise Data Warehouse solutions, including OLTP, OLAP, Dimensions, Facts, and Data modeling.
  • Experience in designing and implementing data pipelines for BI and Machine Learning solutions.
  • Knowledge of data security and privacy best practices.
  • Expertise in Azure Monitor, Load Balancer, Application Gateway, Azure Functions, and Azure Data Factory Integrations.
  • At least 5 years of hands-on experience in Data Management leveraging Microsoft Azure Cloud, including:
  • Data integration and ETL: Azure Data Factory, Power BI Dataflow, SSIS.
  • Database Management: Azure SQL Database, Azure Synapse Analytics, Azure Data Lake Storage, MSSQL, Cosmos DB, Analysis Services.
  • Compute: Azure Functions.
  • Monitoring: Azure Monitor.
  • Container orchestration: Kubernetes.
  • Experience working and communicating cross-functionally in a team environment.
  • Ability to commute to one of our office locations.

Preferred Qualifications:

  • Certifications in data engineering AI/ML technologies and Azure, such as Azure AI Engineer, Azure Data Scientist, or Azure Solutions Architect.

Responsibilities:

  • Transform structured, semi-structured, and unstructured data into actionable insights.
  • Lead, design, develop, and deliver large-scale data systems, data processing, and data transformation projects.
  • Design and develop scalable, high-performance data pipelines using Azure cloud platform technologies.
  • Build, test, and debug software packages and pipelines required for optimal extraction, loading, and transformation (ELT) of data from various sources.
  • Implement best practices for data management, security, and governance.
  • Document data pipelines, data models, and reports.

Summary:

We are seeking a Data Engineer to support one of our clients in designing and developing large-scale data systems and high-performance data pipelines using Azure technologies. The ideal candidate thrives in a fast-paced environment and has a minimum of 5 years of experience in data management and integration, with expertise in Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, and Kubernetes. Responsibilities include transforming structured and unstructured data into actionable insights, implementing data security best practices, and documenting data models and pipelines. Preferred candidates will have relevant Azure certifications and experience with data modeling, ETL processes, and BI solutions. Candidates must live within commuting distance to one of our office locations.

MUST be a US Citizen. Unfortunately, sponsorship is not available at this moment in time.

Job Summary

JOB TYPE

Full Time

SALARY

$133k-164k (estimate)

POST DATE

05/22/2024

EXPIRATION DATE

06/19/2024

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The job skills required for Data Engineer include SQL, Data Engineering, Data Warehouse, Analysis, Insight, Machine Learning, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Data Engineer job description and responsibilities

The data engineer develops and maintains the enterprise data framework for continued use.

03/12/2022: Dothan, AL

A data engineer prepares data for analytical or operational uses.

03/03/2022: Boulder, CO

Data engineers simplify complex data structure and prevent the reduplication of data.

03/28/2022: New Suffolk, NY

Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

04/13/2022: Harrisburg, PA

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

01/22/2022: Fort Wayne, IN

Oil changes are an essential component of preventative maintenance.

02/26/2022: Newark, NJ

A data engineer should be aligned with a data scientist’s needs while creating a data system.

04/10/2022: Fayetteville, NC

Start with an entry-level position.

02/10/2022: Winston Salem, NC

Consider pursuing additional professional engineering or big data certifications.

03/09/2022: Saginaw, MI

Step 3: View the best colleges and universities for Data Engineer.

Butler University
Carroll College
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Providence College
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