Description

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 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

Required Qualifications

 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

Key Skills

Education

Bachelor's degree