

GTECH LLC
Lead Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead Data Engineer in Malvern, PA (Hybrid) for 12+ months, offering expert-level Python, PySpark, SQL, and AWS experience. Key skills include ETL/ELT, data pipeline design, and strong leadership capabilities.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
June 12, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Malvern, PA
-
🧠 - Skills detailed
#PySpark #"ETL (Extract #Transform #Load)" #Data Pipeline #Leadership #OpenSearch #AWS (Amazon Web Services) #Scripting #Anomaly Detection #Python #Snowflake #Pandas #RDS (Amazon Relational Database Service) #Lambda (AWS Lambda) #NumPy #AWS Glue #SQL (Structured Query Language) #Unix #Athena #Data Processing #Redshift #Data Quality #Cloud #Oracle #Spark (Apache Spark) #S3 (Amazon Simple Storage Service) #DynamoDB #Automation #Data Engineering
Role description
Hiring: Lead Data Engineer
Location-Malvern, PA (Hybrid)
Duration-12+ Months
Required Skills & Experience
🔹 Expert-level Python development (Pandas, NumPy)
🔹 Strong hands-on experience with PySpark and distributed data processing
🔹 Advanced SQL expertise with performance tuning (Oracle/Snowflake)
🔹 Proven experience designing and leading enterprise data pipeline initiatives
🔹 Strong AWS cloud experience, including:
• AWS Glue
• S3
• Lambda
• Redshift
• DynamoDB
• Athena
• ECS
• EventBridge
• OpenSearch
• RDS
🔹 Expertise in ETL/ELT, Data Quality, Data Validation, and Anomaly Detection
🔹 Experience with Unix scripting and automation
🔹 Strong leadership, stakeholder management, and solution architecture skills
Hiring: Lead Data Engineer
Location-Malvern, PA (Hybrid)
Duration-12+ Months
Required Skills & Experience
🔹 Expert-level Python development (Pandas, NumPy)
🔹 Strong hands-on experience with PySpark and distributed data processing
🔹 Advanced SQL expertise with performance tuning (Oracle/Snowflake)
🔹 Proven experience designing and leading enterprise data pipeline initiatives
🔹 Strong AWS cloud experience, including:
• AWS Glue
• S3
• Lambda
• Redshift
• DynamoDB
• Athena
• ECS
• EventBridge
• OpenSearch
• RDS
🔹 Expertise in ETL/ELT, Data Quality, Data Validation, and Anomaly Detection
🔹 Experience with Unix scripting and automation
🔹 Strong leadership, stakeholder management, and solution architecture skills






