AWS Data Engineer

We are hiring for an AWS Data Engineer role with one of our financial clients based in Newark, NJ (Hybrid - 3 days onsite).

Title : AWS Data Engineer

Work Schedule: Hybrid (3 days required to work from office , Tuesday , Wednesday & Thursday)

Required Skills : AWS Data Engineer

Job Summary:

We are seeking a talented AWS Data Engineer to join our dynamic Data Engineering team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and architectures in the AWS cloud environment. This role will collaborate closely with data scientists, analysts, and other business stakeholders to deliver robust data solutions.

Key Responsibilities:

• Design, build, and maintain efficient, reusable, and reliable architecture and code for data pipelines and data applications on AWS.

• Build robust data ingestion pipelines (from on-prem to AWS and within AWS) using AWS services such as Glue, Redshift, S3, Lambda, EMR/Spark, Kinesis, and SQS.

• Develop and manage ETL/ELT processes to collect, process, and store data from multiple sources, ensuring data quality, integrity, and security.

• Architect and implement end-to-end data solutions (ingestion, storage, integration, processing, access) on AWS, with a focus on data lakes and data warehouses.

• Participate in the architecture and system design discussions for high-scale data engineering projects.

• Independently perform hands-on development, unit testing, and participate in code reviews to ensure adherence to best practices.

• Implement serverless applications using AWS Lambda, API Gateway, Step Functions, and other AWS technologies.

• Migrate data from traditional relational databases, file systems, and APIs to AWS-based data lakes (S3), RDS, Aurora, and Redshift.

• Implement high-velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred).

• Architect and implement CI/CD strategies for enterprise data platforms.

• Collaborate with product, operations, QA, and cross-functional teams throughout the software development cycle.

Required Qualifications:

• Bachelor’s degree in Computer Science, Software Engineering, MIS, or equivalent combination of education and experience.

• 5+ years of experience implementing and supporting data lakes, data warehouses, and data applications on AWS for large enterprises.

• Strong programming experience with Python, Shell scripting, and SQL.

• Solid experience with AWS services: CloudFormation, S3, Athena, Glue, EMR/Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, Secrets Manager.

• Experience in serverless application development and data pipeline orchestration.

• Experience in system analysis, design, development, and implementation of data ingestion pipelines in AWS.

• Knowledge of ETL/ELT, data modeling, and big data technologies.

• Familiarity with data warehousing concepts and cloud-based architecture.

Preferred Qualifications:

• AWS Solutions Architect or AWS Developer Certification preferred.

• Understanding of Lakehouse/data cloud architecture.

• Knowledge of data governance and compliance standards.

Best regards,

Ankit Grover

Thanks and Regards,

Ankit Grover

Sr. Executive - TA

Iris Software

200 Metroplex Drive, Suite #300, Edison, NJ 08817

Email : [email protected]

Phone : 732-426-8669

www.irissoftware.com