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AWS Data Engineer – C2C Jobs urgent Need

Data Engineer with Matillion

Rate – 60/hr on C2c

Location – Remote
Visa – USC and GC

Matillion exp is mandatory

 


Key Responsibilities:
• Data Pipeline Development and Maintenance:
o Design, develop, and maintain scalable and high-performance ETL pipelines 
using Matillion ETL to ingest, transform, and load data into Snowflake.
o Integrate and manage data from various sources, ensuring data quality, 
reliability, and performance.
o Optimize SQL queries, scripts, and stored procedures in Snowflake and SQL 
Server to improve deficiency and reduce processing time.


• Data Warehousing and Modeling:
o Develop and implement data models within Snowflake to support business intelligence and analytics requirements. o Collaborate with data architects and analysts to design and enhance data warehouse schemas and ensure alignment with reporting and analytics needs.


• Collaboration and Requirements Gathering:
o Work with business stakeholders to understand data requirements and 
translate them into technical specifications.
o Support data architects and analysts by providing guidance on data 
ingestion, storage, and retrieval methods.


• Platform Monitoring and Optimization:
o Monitor data pipeline and ETL performance, identifying bottlenecks and 
making necessary adjustments to ensure optimal system performance.
o Perform troubleshooting and root cause analysis to resolve data issues and 
prevent future occurrences.


Required Qualifications:
• Experience: 
At least 5 years of experience in data engineering, with proficiency in 
Snowflake, SQL Server, AWS and ETL tools (preferably Matillion).
• Technical Skills:
 Strong SQL and Python skills with experience in query 
optimization and performance tuning.
• Education: 
Bachelor’s degree in computer science, Information Technology, or a 
related field.
• Soft Skills: 
Strong analytical, problem-solving, and communication skills. • Data Engineering Skills: Experience in building, maintaining, and optimizing data pipelines and ETL processes. • Data Modeling: Knowledge of data warehousing concepts and hands-on experience in data modeling, particularly within Snowflake.


Preferred Qualifications:
• Additional Tools and Platforms: 
Experience with additional ETL tools, data 
transformation methods, or cloud platforms is a plus.
• Healthcare and PBM:
 PBM-specific knowledge and experience with transforming
various healthcare data is a plus but not required.

 

 


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