ITUS - Data Engineer - Special Skillset (AI/ML, AWS)

At-a-Glance :

Are you ready to build your career by joining a global financial company. If so, our client is hiring a Data Engineer - Special Skillset (AI / ML, AWS)

Position Type : Contract

Contract

Hybrid

Required :

• Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience
• Experience implementing, supporting data lakes, data warehouses and data applications on AWS for large enterprises
• Programming experience with Python, Shell scripting and SQL
• Solid experience of AWS services such as CloudFormation, S, Athena , Glue, EMR / Spark, RDS, Redshift, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
• Solid experience implementing solutions on AWS based data lakes.
• Should have good experience with AWS Services - API Gateway, Lambda, Step Functions, SQS, DynamoDB, S, ElasticSearch
• Serverless application development using AWS Lambda
• Experience in AWS data lake / data warehouse / business analytics
• Experience in system analysis, design, development, and implementation of data ingestion pipeline in AWS
• Knowledge of ETL / ELT
• End-to-end data solutions (ingest, storage, integration, processing, access) on AWS
• Architect and implement CI / CD strategy for EDP
• Implement high velocity streaming solutions using Amazon Kinesis, SQS, and Kafka (preferred)
• Migrate data from traditional relational database systems, file systems, NAS shares to AWS relational databases such as Amazon RDS, Aurora, and Redshift
• Migrate data from APIs to AWS data lake (S) and relational databases such as Amazon RDS, Aurora, and Redshift
• Implement POCs on any new technology or tools to be implemented on EDP and onboard for real use-case
• AWS Solutions Architect or AWS Developer Certification preferred
• Good understanding of Lakehouse / data cloud architecture

Responsibilities :

• Designing, building and maintaining efficient, reusable, and reliable architecture and code.
• Build reliable and robust Data ingestion pipelines (within AWS, onprem to AWS, etc)
• Ensure the best possible performance and quality of high scale data engineering project
• Participate in the architecture and system design discussions
• Independently perform hands on development and unit testing of the applications.
• Collaborate with the development team and build individual components into complex enterprise web systems.
• Work in a team environment with product, production operation, QE / QA and cross functional teams to deliver a project throughout the whole software development cycle.
• Responsible to identify and resolve any performance issues
• Keep up to date with new technology development and implementation
• Participate in code review to make sure standards and best practices are met

Get in Touch :

If you think you'd be a good match, submit your resume and reach out to Ishu at () - to learn more.