AWS Data Engineer

Job Location : Newark NJ (hybrid)

Key Responsibilities

• Designing building and maintaining efficient reusable and reliable architecture and code.
• Build reliable and robust Data ingestion pipelines (within AWS onprem to AWS etc.)
• Ensure the best possible performance and quality of high scale data engineering project.
• Participate in the architecture and system design discussions.
• Independently perform hands on development and unit testing of the applications.
• Collaborate with the development team and build individual components into complex enterprise web systems.
• Work in a team environment with product production operation QE/QA and cross functional teams to deliver a project throughout the whole software development cycle.
• Responsible to identify and resolve any performance issues Keep up to date with new technology development and implementation.
• Participate in code review to make sure standards and best practices are met.

Required Skills

• Bachelor's degree in computer science Software Engineering MIS or equivalent combination of education and experience.
• 5-10 years of Experience implementing supporting data lakes data warehouses and data applications on AWS for large enterprises.
• Programming experience with Python Shell scripting and SQL Solid experience of AWS services such as CloudFormation S3 Athena Glue EMR/Spark RDS Redshift DynamoDB Lambda Step Functions IAM KMS SM etc.
• Solid experience implementing solutions on AWS based data lakes.
• Should have good experience with AWS Services - API Gateway Lambda Step Functions SQS DynamoDB S3 Elasticsearch Serverless application development using AWS Lambda
• Experience in AWS data lake/data warehouse/business analytics
• Experience in system analysis design development and implementation of data ingestion pipeline in AWS
• Knowledge of ETL/ELT End-to-end data solutions (ingest storage integration processing access) on AWS Architect and implement CI/CD strategy for EDP Implement high velocity streaming solutions using Amazon Kinesis SQS and Kafka (preferred).
• Migrate data from traditional relational database systems file systems NAS shares to AWS relational databases such as Amazon RDS Aurora and Redshift Migrate data from APIs to AWS data lake (S3) and relational databases such as Amazon RDS Aurora and Redshift Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case AWS Solutions Architect or AWS Developer Certification preferred.
• Good understanding of Lakehouse/data cloud architecture

Life At Capgemini

Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: 

• Flexible work 
• Healthcare including dental, vision, mental health, and well-being programs
• Financial well-being programs such as 401(k) and Employee Share Ownership Plan
• Paid time off and paid holidays 
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups 
• Disaster Relief

Disclaimer

Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law