Mastech Digital
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a "contract" basis, offering a pay rate of "X" for "Y" months. Key skills include AWS S3, Amazon Redshift, and ETL processes, with experience in SAP and Google Analytics required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
November 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Newark, NJ
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🧠 - Skills detailed
#Google Analytics #AWS S3 (Amazon Simple Storage Service) #SAP #Data Mapping #Data Quality #"ETL (Extract #Transform #Load)" #Data Engineering #Storage #AWS (Amazon Web Services) #Datasets #Automation #S3 (Amazon Simple Storage Service) #Amazon Redshift #Redshift #Data Architecture #Data Ingestion
Role description
Responsibilities:
• Ingest data from various enterprise platforms, including SAP, Salesforce, Google Analytics, OKTA, and other designated sources, into the AWS S3 Raw layer for initial storage and processing.
• Curate and transform raw data into standardized datasets within the Curated layer, ensuring data quality, integrity, and accessibility for analytics and reporting.
• Define and implement efficient data mapping and transformation logic, utilizing code-driven automation to prepare and load datasets into Amazon Redshift tables and views tailored for optimal query performance.
• Collaborate with data architects, analysts, and business stakeholders to identify requirements and continuously improve data ingestion, transformation, and consumption processes.
Responsibilities:
• Ingest data from various enterprise platforms, including SAP, Salesforce, Google Analytics, OKTA, and other designated sources, into the AWS S3 Raw layer for initial storage and processing.
• Curate and transform raw data into standardized datasets within the Curated layer, ensuring data quality, integrity, and accessibility for analytics and reporting.
• Define and implement efficient data mapping and transformation logic, utilizing code-driven automation to prepare and load datasets into Amazon Redshift tables and views tailored for optimal query performance.
• Collaborate with data architects, analysts, and business stakeholders to identify requirements and continuously improve data ingestion, transformation, and consumption processes.
