AWS (Lambda) Developer

Overview

About company

We are actually in 8th year of our inception, Dataeaze has been a reliable partner for global big and small businesses, in their data journey. We remain focused on making it easy for organizations to work with data and to build better decision-making mechanisms, by incorporating our domain knowledge and leveraging our customized artificial intelligence and deep learning techniques.

Job Description

Must Have
● Scripting :Python , Pyspark , Unix scripting (Basic)
Cloud : AWS -Lambda, Glue, Athena,RDS,S3, DynamoDB,SNS, SQS, IAM, Step
function, Pipeline monitoring , Security, Access and Role permissions, Logging and
monitoring Services.
● Database : SQL/Oracle
● Tools : Pycham,Visual Studio,AWS CLI
● Devops Tools : Terraform , GIT, GIT actions, CICD pipeline
● Agile , Scrum/Kanban
Nice to have
● Data Feed File, REST API
● network concepts (E.g VPC, subnet ,Internet gate)
● Monitoring tools like Grafana.
Job Responsibilities' :
● Must have experience in data & analytics, BI solution and cloud based implementation
● Developing and maintaining data pipelines and ETL (Extract, Transform, Load)
● Comfortable in working with data schemas, tables, relationships, and indexing strategies
for optimal data retrieval and analysis.
● Excellent knowledge in Data modeling and Designing ETL/BI pipeline.
● Able to Provide estimates for requirements, analyses and develop as per the
requirement.
● Lead Technical discussions with customers to find the best possible solutions.
● Ability to learn quickly, be organized and detail oriented.
● Must have Good communication and experience in working with Client facing roles.
● Provide technical write-ups and drawings to promote the proposed solutions.
● Collaborate with the other team members to ensure all services are reliable,
maintainable, and well-integrated into existing platforms.
● Strong leadership skill and ability to lead the team

Skills & Requirements

AWS -Lambda, Glue, Athena,RDS,S3, DynamoDB ,SNS, SQS, IAM, Step function, Pipeline monitoring , Security, Access .Data Modeling , Data Analytics

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