About
Location: Owings Mills, MD
Visa: H1B
Client: TCS
Experience: 13 years
Note: Need Banking or financial experience working experience in recent projects
Job Overview
We are seeking a highly motivated and skilled
AWS Data Engineer
to join our dynamic team. In this role, you will work with cutting-edge cloud technologies to design, implement, and manage large-scale data solutions on the AWS platform. Your expertise in data engineering, cloud architectures, and AWS services will be crucial to optimizing our data pipelines, ensuring scalability, and enabling data-driven decisions.
Key Responsibilities: Design and Develop Data Pipelines : Build and maintain scalable and efficient data pipelines using AWS services (e.g.,
AWS Glue ,
AWS Lambda ,
Amazon Kinesis ,
Amazon S3 ). Integrate and transform large datasets from various sources to facilitate data analysis.
Data Warehousing : Work with
Amazon Redshift
and
Amazon RDS
to design and manage data warehouse solutions. Optimize performance, query efficiency, and ensure seamless data integration.
Cloud Infrastructure : Collaborate with teams to implement cloud-based data solutions using
Amazon EC2 ,
Amazon S3 ,
AWS Batch , and other AWS services. Leverage AWS
IAM
for managing user access and security.
Data Modeling and Transformation : Develop data models for storage and retrieval efficiency. Implement and optimize ETL (Extract, Transform, Load) workflows using
AWS Glue
or custom solutions.
Collaboration with Data Scientists and Analysts : Work closely with data scientists and business analysts to ensure data is structured and processed to meet their requirements. Provide support for ad-hoc queries and insights.
Monitor and Optimize Performance : Monitor the performance of data pipelines and cloud infrastructure, ensuring uptime and efficiency. Optimize data ingestion processes for better performance and cost-effectiveness.
Documentation and Best Practices : Ensure proper documentation of data pipelines, architecture, and processes. Adhere to industry best practices for security, data management, and cloud deployment.
Languages
- English
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