FSSBU - AWS Data Engineer - C1 - (BARC)

Capgemini • New York, NY

11d • $78,628 - $95,278 • Hybrid

About The Position

We are seeking a skilled AWS Data Engineer to design, build, and maintain scalable cloud-based data solutions on AWS. The ideal candidate will have experience developing data pipelines, managing data lakes and warehouses, implementing automation, and ensuring secure, high-quality data platforms that support analytics, business intelligence, and machine learning initiatives.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
• 5+ years of experience in data engineering and cloud-based data platforms.
• Strong hands-on experience with AWS data services and cloud architecture.
• Proficiency in Python, SQL, Spark, and ETL/ELT development.
• Experience with Redshift, Snowflake, data lakes, and real-time data processing frameworks.
• Knowledge of Terraform/CloudFormation, CI/CD pipelines, and DevOps practices.
• Strong problem-solving, communication, and stakeholder management skills.

Nice To Haves

• AWS Certified Data Engineer, Solutions Architect, or related AWS certification.
• Experience with Kafka, Airflow, and modern lakehouse architectures.

Responsibilities

• Design and implement scalable data architectures using AWS services such as S3, Redshift, Glue, Athena, EMR, DynamoDB, Lambda, and Kinesis.
• Build, optimize, and maintain ETL/ELT pipelines for structured and unstructured data.
• Develop real-time and batch data ingestion solutions using AWS-native technologies and Kafka.
• Utilize Python, Spark, Scala, AWS Glue, and EMR for data processing and transformation.
• Build and manage data lakes on Amazon S3 and data warehouses on Redshift or Snowflake.
• Optimize data models, database performance, partitioning, and storage strategies.
• Implement CI/CD pipelines, Infrastructure-as-Code (Terraform/CloudFormation), and DevOps best practices.
• Monitor and troubleshoot data pipelines, infrastructure, and performance issues using CloudWatch and related AWS services.
• Apply AWS security best practices, including IAM, KMS, VPCs, and Secrets Manager.
• Ensure compliance with data governance, privacy, audit, and regulatory requirements.
• Collaborate with data scientists, analysts, and business stakeholders to deliver scalable data solutions.

Benefits

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level