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.
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