CGEMJP00360646 -AWS Data Engineer |

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, 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 onprem to AWS and within AWS using AWS services such as Glue Redshift S3 Lambda EMRSpark Kinesis and SQS

Develop and manage ETLELT processes to collect process and store data from multiple sources ensuring data quality integrity and security

Architect and implement endtoend 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 highscale data engineering projects

Independently perform handson 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 AWSbased data lakes S3 RDS Aurora and Redshift

Implement highvelocity streaming solutions using Amazon Kinesis SQS and Kafka preferred

Architect and implement CICD strategies for enterprise data platforms

Collaborate with product operations QA and crossfunctional teams throughout the software development cycle

Stay abreast of new technology developments implement POCs for new toolstechnologies and onboard them for realworld use cases

Identify and resolve performance issues and continuously optimize for cost reliability and scalability

Amazon Web Services (AWS), Data Management, Data Science, Cloud Computing, Amazon Web Services (AWS), Data Analysis, Scalable System Development, AWS Lambda, Amazon Simple Storage Service (S3), Simple Queue Service (SQS), Bachelors 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 EMRSpark 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 ETLELT data modeling and big data technologies

Familiarity with data warehousing concepts and cloudbased architecture

Strong problemsolving skills and attention to detail

Excellent communication and teamwork abilities

Preferred Qualifications

Experience with additional AWS services API Gateway ElasticSearch SQS

Experience with infrastructureascode tools eg Terraform CloudFormation

Experience with DevOps practices and CICD pipelines

Experience implementing endtoend streaming solutions Amazon Kinesis SQS Kafka

AWS Solutions Architect or AWS Developer Certification preferred

Understanding of Lakehousedata cloud architecture

Knowledge of data governance and compliance standard