Aws Glue Data Lead - Richmond, United States - Cognizant

Cognizant

Verified Company

Richmond, United States

3 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

We are Cognizant Artificial Intelligence

Digital technologies, including analytics and AI, give companies a once-in-a-generation opportunity to perform orders of magnitude better than ever before.

However, clients need new business models built from analyzing customers and business operations at every angle to really understand them.

You must be legally authorized to work in the United States without the need of employer sponsorship, now or at any time in the future

Job Title:
AWS Glue Data Lead (Onsite)

Job Summary

We are seeking an experienced Architect/Manager
Projects with a strong background in Python, Apache Spark, and AWS services, particularly AWS Glue technologies.
With a focus on innovation and efficiency this role will contribute significantly to our project management team driving the success of our datadriven initiatives.

Required Skills:

Technical Skills:
AWS Glue.

Technical Skills:
Python, Apache Spark, Catalog, ETL, Studio Spark Optimization and Databrew.

Roles/Responsibilities

Lead the design and implementation of scalable data processing architectures using Python and Apache Spark.
Utilize AWS Glue Catalog, AWS Glue ETL, and AWS Glue Studio to manage and transform large datasets efficiently.
Leverage AWS Glue Databrew for data preparation and cleaning, ensuring highquality data for analytics.
Collaborate with the development team to integrate AWS services like AWS IAM Amazon S3, and Amazon DynamoDB into the data architecture.
Oversee the deployment of data pipelines in AWS utilizing AWS CloudWatch and AWS DevOps practices for monitoring and automation.
Ensure data security and compliance by implementing robust access controls and monitoring with AWS IAM and AWS Cloud Formation.
Drive innovation by exploring and integrating new AWS technologies and services into the data architecture.
Provide technical leadership and guidance to the team fostering a culture of continuous improvement and learning.
Contribute to risk management strategies identifying potential issues and developing mitigation plans.
Support the Cards & Payments domain with highquality reliable data solutions that meet business needs.
Qualifications
Proven experience with Python, Apache Spark, and AWS Glue technologies is mandatory.
Familiarity with Amazon DynamoDB, Amazon Redshift, and AWS IAM is highly desirable.
Strong understanding of data architecture principles and best practices in the Cards & Payments domain.
Excellent problemsolving skills and the ability to work independently or as part of a team.
Effective communication skills with the ability to articulate technical concepts to nontechnical stakeholders.
A commitment to continuous learning and development in the field of data architecture.