Aws Tutor Jobs (NOW HIRING)

• We are seeking a skilled Data Engineer with strong hands-on experience in AWS-native data services, particularly Glue, Lambda, EventBridge, and workflow orchestration using Airflow.
• The role focuses on building scalable, event-driven data pipelines and supporting data processing and analytics on AWS and Postgres platforms.

• Design and develop scalable data pipelines using AWS Glue, Lambda, and Event Bridge for event-driven and batch processing.
• Build and maintain AWS Glue ETL jobs (PySpark/Python) for data ingestion, transformation, and curation across data lake layers.
• Develop and manage Airflow DAGs (MWAA or self-managed) to orchestrate data workflows, triggers, and dependencies across AWS services.
• Implement event-driven architectures using AWS Lambda and Event Bridge for near real-time data processing.
• Write, optimize, and maintain complex SQL queries in Postgres for data validation, transformation, and reporting.
• Manage metadata and schema definitions using AWS Glue Data Catalog, ensuring proper governance and discoverability.
• Build and support robust data ingestion frameworks for batch and near real-time data pipelines.
• Monitor and troubleshoot pipeline performance using AWS monitoring tools (CloudWatch, logs, alerts).
• Collaborate with downstream teams (BI, analytics, and Snowflake if applicable) to ensure reliable data consumption.
• Contribute to system reliability, scalability, and performance optimization of the data platform.

• 6+ years of experience in Data Engineering or a related field.
• Strong hands-on expertise in AWS Glue, Lambda, Event Bridge, and S3.
• Experience building and orchestrating workflows using Apache Airflow (MWAA preferred).
• Strong proficiency in SQL (Postgres preferred) for complex transformations and performance tuning.
• Experience with Python / PySpark for ETL development.
• Solid understanding of event-driven data architecture and pipeline design.
• Familiarity with AWS IAM, CloudWatch, and logging/monitoring frameworks.
• Experience with CI/CD pipelines (e.g., GitHub Actions) for deployment automation.
• Experience with Terraform or infrastructure-as-code tools.
• Knowledge of data lake formats (Parquet, Iceberg, Delta).
• Understanding of data modeling, partitioning, and schema evolution.
• Familiarity with AWS services such as Lake Formation, SNS, and CloudTrail.
• Exposure to Snowflake or other data warehouse platforms is a plus

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

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

Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $103330 to $128656 /yearly.  
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.