Data engineer

Role: Data engineers (with strong Python and AWS experience)

Locations: DC/VA/Client(Onsite)

GC ,US CITIZEN & EAD Visa only

Need Strong Hands-on experience

Role Description

Data Pipeline Development:

Design, implement, and manage robust data pipelines using Python, PySpark, SQL to efficiently extract, transform, and load data from diverse sources(Batch & Streaming)

AWS Expertise

Demonstrate expertise in core AWS services such as AWS DMS, AWS Glue, AWS Step Functions, Amazon S3, Amazon Redshift, Amazon RDS, Amazon EMR, AWS IAM, AWS LAMBDA etc., and apply them to build scalable and reliable data solutions.

Data Modeling

Develop and maintain efficient data models to support the analytical and reporting needs.

Database Management

Administer databases using AWS services like Amazon RDS or Amazon Redshift, focusing on schema design, performance optimization, and monitoring.

Data Warehousing

Utilize Amazon Redshift or Amazon Snowflake to create high-performing analytical databases that empower data-driven decision-making.

ETL Best Practices

Implement industry best practices for ETL processes, including data validation, error handling, and data quality checks.

Performance Optimization

Optimize query performance through continuous tuning of databases and leveraging AWS's scalability capabilities.

Monitoring And Logging

Establish robust monitoring and logging mechanisms using AWS CloudWatch, Amazon CloudTrail, or comparable tools to ensure pipeline reliability.

Security And Compliance

Ensure adherence to security best practices and relevant compliance standards, tailoring solutions to meet GDPR, HIPAA, or other regulatory requirements.

Automation

Drive automation of deployment and scaling of data pipelines using infrastructure as code (IaC) tools like AWS CloudFormation and Terraform.

Collaboration

Collaborate closely with cross-functional teams, including data scientists, analysts, and other stakeholders, to understand their data needs and provide effective solutions.

Continuous Learning

Stay updated on the latest developments in AWS services and data engineering methodologies, applying new insights to enhance our data infrastructure.

Soft Skills

Exhibit strong communication skills to facilitate effective teamwork and interaction with diverse groups