AWS Architect(Plano, TX) ID-11335
About the position
Job Title- AWS Architect Location- Plano, TX 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! But clients need new business models built from analyzing customers and business operations at every angle to really understand them. With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks. We are seeking a highly skilled Sr. Architect with 8+ years of experience to join our dynamic team. The ideal candidate will have extensive experience in AWS Glue, AWS EMR, AWS Lambda, Amazon DynamoDB, Amazon S3, Apache Spark, and Python. Additionally, expertise in the Cards & Payments domain is essential. This role involves developing and maintaining scalable data processing solutions, ensuring data integrity, and optimizing performance to support our business objectives.
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Student Part-Time Customer Support, $40/hr, Remote, College Student Live Chat Support, $50/hr, Remote, Night Shift, No Degree Customer Support, $35/hr, Night Job, Remote, No Experience Data Entry, $45/hr, Remote, Night Job, No Degree Customer Support, $35/hr, Night Job, Remote, No Experience Customer Support, $50/hr, Night Job, Remote, No Experience Data Entry, $50/hr, Night Shift, No Degree, Remote Job Remote Phone Support, $40/hr, Evening, No Experience Required Remote Moderator, $40/hr, Part-Time, Weekend, No Degree Remote Customer Support, $40/hr, No Experience, Part-Time Remote Data Entry, $42/hr, Evening/Night Job, No Experience Remote Customer Support, $40/hr, Weekend, No Experience Phone Job, $50/hr, Remote, No Degree, Part-Time, Weekend Entry-Level Remote Data Entry, $50/hr, Evening Job Phone Support, $35/hr, Weekend, Remote, No Experience Remote Phone Job, $40/hr, Part-Time, College Student Friendly Remote Phone Support, $45/hr, Evening, No Experience Required Customer Support, $35/hr, Remote, Evening/Night Job, No Degree Virtual Assistant, No Experience, $40/hr, Remote, Part-Time Remote Data Entry, No Experience, $40/hr, Part-Time Customer Support, $35/hr, Remote, Evening/Night Job, No Degree Phone Support, Remote, $50/hr, No Experience, Night Shift Remote Data Entry, $42/hr, Evening/Night Job, No Experience Live Chat Support, $40/hr, Weekend, Remote, No Degree Remote Moderator, $42/hr, Part-Time, Weekend, No Degree Data Entry, $45/hr, Remote, Night Job, No Degree Virtual Assistant, $42/hr, Remote, Weekend, No Degree Virtual Assistant, $35/hr, Evening, Remote, College StudentResponsibilities
- Lead the design and implementation of scalable data architectures using AWS Glue, AWS Lambda, and Apache Spark.
- Oversee the development and deployment of data pipelines and workflows to ensure efficient data processing and integration.
- Provide technical expertise in Python for scripting and automation tasks related to data engineering.
- Optimize database performance by identifying bottlenecks and implementing best practices for DB Performance Optimization.
- Develop and maintain data models that support business requirements and enhance data accessibility.
- Collaborate with cross-functional teams to gather requirements and translate them into technical specifications.
- Ensure data quality and integrity by implementing robust data validation and cleansing processes.
- Monitor and troubleshoot data workflows to ensure seamless operation and minimal downtime.
- Conduct code reviews and provide constructive feedback to team members to maintain high coding standards.
- Stay updated with the latest industry trends and technologies to continuously improve data solutions.
- Provide mentorship and guidance to junior team members to foster a culture of learning and growth.
Requirements
- 8+ years of experience with AWS Glue, AWS EMR, AWS Lambda, Amazon DynamoDB, and Amazon S3.
- Demonstrate proficiency in Apache Spark and Python for data processing tasks.
- In-depth knowledge of the Cards & Payments domain and related compliance requirements.
- Experience in implementing data security standard processes.
- Good communication skills to effectively collaborate with multi-functional teams.
- Familiarity with agile development methodologies and practices.
Nice-to-haves
- Strong understanding of AWS Glue, AWS Lambda, and Apache Spark for data processing and integration.
- Proficiency in Python for scripting and automation tasks.
- Extensive experience in DB Performance Optimization to ensure efficient database operations.
- Expertise in Data Modelling to create robust and scalable data structures.
- Excellent problem-solving skills and the ability to troubleshoot complex data issues.
Benefits
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan