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Job Description
Technical / Functional Skills:
Strong skills in Python Programming
Strong Experience in SQL
Experience with data pipeline and workflow management tool: GCP Data Proc, Composser and GCS
Strong experience in handling window function in SQL
BigQuery Experience
Roles and Responsibilities:
Support analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
Support and monitor the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, and GCP ‘big data’ technologies.
Work with data and analytics experts to strive for greater functionality in our data systems.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
Developing, supporting and monitoring data pipelines.
Work closely with client to discover needs, collect appropriate data, and deliver valuable data products.
Provide valuable insights from data sets quickly.
Full Time
$106k-130k (estimate)
06/29/2024
07/12/2024
centraprise.com
Edison, NJ
50 - 100
IT Outsourcing & Consulting
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Quotes from people on Data Engineer job description and responsibilities
The data engineer develops and maintains the enterprise data framework for continued use.
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A data engineer prepares data for analytical or operational uses.
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Data engineers simplify complex data structure and prevent the reduplication of data.
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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.
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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.
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Oil changes are an essential component of preventative maintenance.
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A data engineer should be aligned with a data scientist’s needs while creating a data system.
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Start with an entry-level position.
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Consider pursuing additional professional engineering or big data certifications.
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Step 3: View the best colleges and universities for Data Engineer.