Tekshapers
AWS Data Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Lead in Fort Mill, South Carolina, with a contract length of "unknown" and a pay rate of "unknown." Key skills include AWS, Python, SQL, data architecture, and Spark optimization. On-site work is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Fort Mill, SC
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🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Compliance #Security #Sqoop (Apache Sqoop) #Lambda (AWS Lambda) #AWS (Amazon Web Services) #Java #Data Pipeline #Python #Data Quality #Spark (Apache Spark) #Data Architecture #Programming #Scala
Role description
AWS Data Lead
Fort Mill, South Carolina, United States
Data Lead Main Skills - Data Lead, AWS Python, SQL Proficiency, AWS Services Expertise
JD –
1. Expertise in designing scalable and efficient data architectures, including data pipelines and integration with various systems
1. Strong skills in programming languages such as Python, Java, and SQL for data handling, querying, and system integration ?Ensuring data quality, security, and compliance with regulatory requirements
1. Proficiency in AWS ecosystem and AWS Services ? Glue, Lambda, S3
1. Deep understanding of Spark job optimization ?Planning and overseeing Sqoop-to-Glue transitions
AWS Data Lead
Fort Mill, South Carolina, United States
Data Lead Main Skills - Data Lead, AWS Python, SQL Proficiency, AWS Services Expertise
JD –
1. Expertise in designing scalable and efficient data architectures, including data pipelines and integration with various systems
1. Strong skills in programming languages such as Python, Java, and SQL for data handling, querying, and system integration ?Ensuring data quality, security, and compliance with regulatory requirements
1. Proficiency in AWS ecosystem and AWS Services ? Glue, Lambda, S3
1. Deep understanding of Spark job optimization ?Planning and overseeing Sqoop-to-Glue transitions
