FSSBU - AWS Data Engineer - C1 - (BARC)

About the role

Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. We are seeking an experienced AWS Data Engineer to design, build, and optimize scalable cloud-based data solutions on AWS.

Job Location

Whippany, NJ (Onsite/Hybrid from Day 1)

Responsibilities

• Design and implement scalable data architectures using AWS services including 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 pipelines using AWS Glue, Lambda, Kinesis, and Kafka.
• Utilize Spark (EMR/Glue), Python, and Scala to develop data transformation workflows.
• Implement data quality checks, validation rules, and automated error-handling mechanisms.
• Build and maintain data lakes on Amazon S3 and data warehouses on Redshift and Snowflake.
• Design and optimize data models, database schemas, partitioning strategies, and query performance.
• Manage metadata, data cataloging, and lineage using AWS Glue Data Catalog and related tools.
• Implement CI/CD pipelines using CodePipeline, CodeBuild, GitHub Actions, or Jenkins.
• Automate infrastructure provisioning using Terraform, CloudFormation, and Infrastructure-as-Code (IaC) practices.
• Monitor and support data pipelines and cloud infrastructure using CloudWatch, CloudTrail, and AWS Config.
• Apply AWS security best practices, including IAM, KMS encryption, VPC networking, and Secrets Manager.
• Troubleshoot pipeline failures, performance bottlenecks, and data quality issues while providing technical guidance on AWS data architecture best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 5+ years of experience in Data Engineering and cloud-based data platforms.
• Strong hands-on experience with AWS data services including S3, Redshift, Glue, Athena, EMR, and DynamoDB.
• Proficiency in Python, SQL, Spark, and ETL/ELT development.
• Experience building and managing data lakes, data warehouses, and modern data platforms.
• Knowledge of Kafka, real-time data processing, and distributed data architectures.
• Experience with Terraform, CloudFormation, CI/CD pipelines, and DevOps practices.
• Strong understanding of data modeling, database optimization, and performance tuning.
• Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

• AWS Certified Data Engineer, AWS Certified Solutions Architect, or related AWS certifications.
• Experience with Snowflake and Lakehouse architectures.
• Familiarity with Airflow, Databricks, and modern data engineering frameworks.
• Experience supporting analytics, BI, and machine learning workloads.

Pay

The base compensation range for this role in the posted location is: $80,786 – $90,736. Actual compensation may vary based on factors including geographic location, education, certifications, relevant experience, seniority, market conditions, and internal pay equity.