18 days ago
Base Salary
$81k - $91k/yr
Responsibilities
- Design and implement scalable cloud data architectures using AWS services.
- Build, optimize, and maintain structured and unstructured ETL/ELT pipelines for batch and real-time ingestion.
- Develop data transformation workflows with Python, Scala, and Spark.
- Build and maintain S3 data lakes, Redshift and Snowflake warehouses, data models, schemas, and partitioning strategies.
- Manage metadata, cataloging, and lineage with AWS Glue Data Catalog and related tools.
- Implement CI/CD pipelines and automate infrastructure provisioning with Terraform and CloudFormation.
- Monitor and support pipelines and cloud infrastructure using CloudWatch, CloudTrail, and AWS Config.
- Apply AWS security practices involving IAM, KMS encryption, VPC networking, and Secrets Manager.
- Troubleshoot pipeline failures, performance issues, and data-quality problems while providing AWS data architecture guidance.
Requirements
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- At least 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 include AWS Data Engineer or AWS Solutions Architect certification, Snowflake and Lakehouse experience, and familiarity with Airflow, Databricks, analytics, BI, and machine learning workloads.
Benefits
- Onsite/hybrid work arrangement in Whippany, New Jersey from day one.
- Comprehensive benefits package for regular, full-time employees, subject to local policy and eligibility.
- Paid time off including 12–25 vacation days depending on employee grade, company holidays, personal days, and sick leave.
- Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
- Retirement savings plans such as 401(k) in the U.S. or RRSP in Canada.
- Life and disability insurance and employee assistance programs.
- The role may be eligible for variable incentives, bonuses, or commissions in addition to base salary.
Tech Stack
Amazon DynamoDBAmazon RedshiftApache AirflowApache KafkaApache SparkAWSDatabricksGitHub ActionsJenkinsPythonScalaSnowflakeSQLTerraform
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.