AWS Data Engineer

Location :
New York City, NY / Charlotte, NC (Hybrid/Onsite)

Experience : 8+ Years Preferred

Employee Type :
Full Time with Benefits

In-Person Interview

Location:

NYC, NY/Atlanta, GA/ Chicago, IL/ Irving, TX/ Charlotte, NC

We are seeking a skilled AWS Data Engineer to design, develop, and maintain scalable data pipelines and cloud-based data solutions on the AWS platform. The ideal candidate will have strong expertise in data engineering, ETL development, cloud-native architectures, and big data technologies, with the ability to support enterprise analytics, reporting, and data-driven decision-making initiatives.

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes on AWS.
• Build and optimize data ingestion, transformation, and integration solutions from multiple structured and unstructured data sources.
• Develop and manage enterprise data lakes and data warehouses using AWS services.
• Collaborate with business stakeholders, data analysts, architects, and application teams to translate business requirements into technical solutions.
• Ensure data quality, integrity, governance, and security across the data platform.
• Monitor, troubleshoot, and optimize data workflows for performance, scalability, and reliability.
• Develop reusable frameworks and automation solutions to improve operational efficiency.
• Participate in code reviews, design discussions, and Agile/Scrum ceremonies.
• Support deployment, release management, and production support activities.
• Implement best practices for cloud architecture, cost optimization, and data engineering standards.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 5+ years of experience in Data Engineering, ETL development, or Big Data solutions.
• 3+ years of hands‑on experience working with AWS cloud services.
• Strong experience designing and developing data pipelines using AWS services such as Glue, Lambda, EMR, S3, Redshift, Athena, Kinesis, and Step Functions.
• Experience building and managing cloud-based Data Lakes and Data Warehouses.
• Strong SQL skills and experience working with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.
• Proficiency in Python and experience developing scalable data processing applications.
• Experience with Apache Spark and distributed data processing frameworks.
• Knowledge of ETL/ELT methodologies, data modeling, and data integration concepts.
• Experience with workflow orchestration tools and automated data pipeline scheduling.
• Hands‑on experience using Git, CI/CD pipelines, and Dev Ops practices.
• Strong understanding of data governance, security, and compliance best practices.
• Experience working in Agile/Scrum development environments.

• AWS Certifications such as AWS Certified Data Engineer, AWS Certified Solutions Architect, or AWS Certified Developer.
• Experience with Databricks, Snowflake, Apache Airflow, or Kafka.
• Knowledge of Infrastructure as Code (IaC) tools such as Terraform or AWS Cloud Formation.
• Experience with real‑time and streaming data architectures.
• Familiarity with machine learning data pipelines and advanced analytics platforms.
• Experience supporting large‑scale enterprise data platforms and analytics ecosystems.

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

• 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,…