Qualifications -Bachelor's degree in Computer Science, Software Engineering, MIS or equivalent combination of education and experience-Experience implementing software applications 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, S3, Athena, Glue, EMR / Spark, RDS, Redshift, DataSync, DMS, DynamoDB, Lambda, Step Functions, IAM, KMS, SM etc.
- Solid experience implementing solutions on AWS based data lakes.-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 (S3) and relational databases such as Amazon RDS, Aurora, and Redshift-AWS Solutions Architect or AWS Developer Certification preferred Requirements : -5+ years of experience as Data application developer-Experience developing business applications using NoSQL / SQL databases.
- Experience working with Object stores(S3) and JSON is must have-Should have good experience with AWS Services - Glue, Lambda, Step Functions, SQS, DynamoDB, S3, Redshift.
- Plus to have knowledge on Snowflake Responsibilities : -Designing, building and maintaining efficient, reusable, and reliable architecture and code.
- Ensure the best possible performance and quality of high scale web applications and services.-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, frontend design, 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
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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/C...
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