Raas Infotek
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with a contract length of "unknown" and a pay rate of "unknown." Required skills include AWS, Glue, Python, and SQL. Candidates must have 13+ years of experience and hold USC/Green Card status.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 26, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Data Engineering #Data Ingestion #SQS (Simple Queue Service) #Storage #NumPy #Databases #Cloud #Data Storage #PySpark #Pandas #Python #Data Pipeline #Spark (Apache Spark) #SQL (Structured Query Language) #MongoDB #Data Architecture #Data Lake #NoSQL #Kafka (Apache Kafka) #Libraries #DynamoDB #AWS (Amazon Web Services) #Data Access #Scala #SQL Server #SNS (Simple Notification Service) #"ETL (Extract #Transform #Load)" #Datasets
Role description
Position: AWS Data engineer
Location: USA\_ Remote
Contract
Implementation partner
Visa: USC/ Green Card- 13 plus years experience
Job description:
Please share with your Submission.
Primary Skills
Skills
AWS
Glue
SNS/SQS
Python
Py-Spark
Data Lake
Cloud Watch
Cloud Trail
DB Design
SQL
Detail- JDs;
• Lead the team technically to complete milestones on time.
• Understand complete requirement, create Architecture and update all stakeholders.
• Create POCs
• Manage delivery/release to customer
• Develop Services to enable data ingestion from and synchronization with system which exposes required data access mechanisms ensuring near-real-time updates
• Ingest data from multiple sources using the python and any other ETL tools
• Design and implement an event-driven architecture using AWS EventBridge, Kafka, or SNS/SQS for real-time data streaming
• Design, implement, and maintain scalable data pipelines that integrate both on-prem and AWS cloud environments.
• Develop efficient Python scripts and applications using libraries like pandas, NumPy, etc., to handle and process large datasets.
• Work with various NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) to support high-performance data storage and retrieval.
• Develop and deploy applications in a cloud-native architecture, leveraging modern cloud technologies for scalability and resilience.
• Continuously monitor data workflows and systems, troubleshoot issues, and optimize performance for reliability and scalability
Transition existing pipeline to MSSQL server
• Collaborate with the business application owner on the existing data architecture, including data ingestion, data pipelines, business logic, data consumption patterns, and analytics requirements
• Design and document the target data architecture, pipelines, processing and analytics architecture
• Identify opportunities for optimization and consolidation
• Collaboration with data team on decomposition of business logic and data transformation patterns
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
Position: AWS Data engineer
Location: USA\_ Remote
Contract
Implementation partner
Visa: USC/ Green Card- 13 plus years experience
Job description:
Please share with your Submission.
Primary Skills
Skills
AWS
Glue
SNS/SQS
Python
Py-Spark
Data Lake
Cloud Watch
Cloud Trail
DB Design
SQL
Detail- JDs;
• Lead the team technically to complete milestones on time.
• Understand complete requirement, create Architecture and update all stakeholders.
• Create POCs
• Manage delivery/release to customer
• Develop Services to enable data ingestion from and synchronization with system which exposes required data access mechanisms ensuring near-real-time updates
• Ingest data from multiple sources using the python and any other ETL tools
• Design and implement an event-driven architecture using AWS EventBridge, Kafka, or SNS/SQS for real-time data streaming
• Design, implement, and maintain scalable data pipelines that integrate both on-prem and AWS cloud environments.
• Develop efficient Python scripts and applications using libraries like pandas, NumPy, etc., to handle and process large datasets.
• Work with various NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB) to support high-performance data storage and retrieval.
• Develop and deploy applications in a cloud-native architecture, leveraging modern cloud technologies for scalability and resilience.
• Continuously monitor data workflows and systems, troubleshoot issues, and optimize performance for reliability and scalability
Transition existing pipeline to MSSQL server
• Collaborate with the business application owner on the existing data architecture, including data ingestion, data pipelines, business logic, data consumption patterns, and analytics requirements
• Design and document the target data architecture, pipelines, processing and analytics architecture
• Identify opportunities for optimization and consolidation
• Collaboration with data team on decomposition of business logic and data transformation patterns
Ritesh Rawat
Raas infotek corporation
262 Chapman road, Suite 105A, Newark, DE-19702
Phone: 302-286-9831 Ext: 142,
Email: ritesh.rawat@raasinfotek.com
Website: raasinfotek.com
