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Hiring a Data Engineer for a long term contract hybrid near the Jersey City NJ area. The Pay rate is from $70 to $80 per hour DOE, hybrid 3 days remote and 2 days onsite
Must be available to come in for an in-person interview, and onsite from day 1.
Day-to-Day Responsibilities:
• Design and implement data storage systems using Azure services including Azure SQL Database, Azure Data Lake Storage, and Azure Synapse
• Data Integration and ETL (Extract, Transform, Load).
• Develop and implement data integration processes using Azure Data Factory
• Extract data from various sources, transform it, and load it into data warehouses or data lakes
• Utilize big data technologies such as Apache Spark
• Create data processing workflows and pipelines to support data analytics and machine learning applications
• Monitor and optimize data pipelines and database performance to ensure data processing efficiency
• Build interfaces for supporting evolving and new applications and accommodating new data sources and types of data
Must Have Qualifications:
• 5 years of experience in building data and analytics platform focused on Azure data and analytics solutions
• 5 years of programming experience in Python/Pyspark
• Good experience in Azure services such as Azure SQL Database, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake
• Knowledge of data modeling and data warehousing concepts
• Experience with cloud-based data migration
o ETL tools (e.g., SSIS, Azure Data Factory, Power BI Dataflow)
o Database management (MSSQL, Azure SQL Database, Azure Data Lake Storage, and Azure Synapse)
Plusses:
• Understanding of capital markets within Fixed Income
• Microsoft Fabric experience
Contractor
$133k-164k (estimate)
06/06/2024
07/04/2024
The job skills required for Data Engineer include SQL, Python, Big Data, Data Warehouse, Machine Learning, Azure, 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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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.
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A data engineer prepares data for analytical or operational uses.
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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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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.