Overview
Skills
Job Details
Hello, Hope you are doing great!!! Please have a look at the below requirement and let me know if you are comfortable with the position ASAP with your updated word resume.
Role: AWS Data Engineer
Location: Richmond, VA - Onsite
Contract on w2
Job Description:
Data Pipeline Development: Design, develop, and manage robust data pipelines using AWS services such as AWS Glue, Lambda, and S3 to ingest, transform, and load data from various sources into data lakes or warehouses.
Data Warehousing: Build, manage, and optimize data warehouses using AWS Redshift to support data analytics and reporting processes.
Data Integration: Integrate data from various structured, semi-structured, and unstructured sources (e.g., RDS, DynamoDB, external APIs) into AWS environments to enable seamless data access.
ETL Process Automation: Automate ETL (Extract, Transform, Load) processes using AWS services like Glue, Step Functions, and Batch for large-scale data processing and transformation.
Data Quality & Governance: Implement data validation and quality controls to ensure that data in AWS environments is accurate, complete, and conforms to company standards.
Data Security & Compliance: Ensure the security, privacy, and compliance of data by using AWS security features such as encryption (KMS), access control (IAM), and data masking techniques.
Collaboration with Data Scientists/Analysts: Work closely with data scientists, analysts, and business stakeholders to understand data requirements and provide high-quality, accessible datasets for analytics.
Performance Optimization & Cost Management: Continuously monitor and optimize the performance of data processing workflows and reduce costs by leveraging cost-effective AWS services and resources.