Data Analytics and AI Focused
Data Analytics and AI Focused
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Job Description
Position Overview:
Senior Data Engineer with SME in data analytics end AI work within our tech stack; 5 years of experience. Data Engineer must be a skilled engineer with an unwavering passion for excellence in Software Engineering and drive to transform that passion into consistent excellence in product development. The candidate must be customerobsessed have strong analytical and communication skills enjoy working with native AWS services and thrive on solving challenging business problems. The candidate will partner with Product Owners/Architects Developers and other Software Engineers to help design define implement functional features system level validation and verify features of product development. Qualified candidates will show an aptitude learning and implementation of advanced software engineering practices in Data Analytics AWS Microservices environment to solve complex problems with a mission to release high quality software that is resilient and optimally performing. Candidates will be engaged in both data and analytics reports development and quality engineering testing and automation as a data engineer.
Responsibilities:
- Collaborate with and across Agile teams to design develop test implement and support technical solutions in fullstack development tools and technologies.
- Builds tests deploys and maintains production code for complex transactional applications using event driven microservices node.js Python languages.
- Incorporates Cloud technologies on new application development to include microservices SQL and AWS services such as lambda S3 SQS SNS DynamoDB Quicksight AWS Redshift Opensearch.
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed elegantly coded and effectively tuned for performance.
Required Skills:
- Expert in writing and optimizing complex SQL queries for data extraction transformation and reporting (e.g. SELECT JOIN GROUP BY HAVING WINDOW functions).
- Expert integrating Redshift Serverless with AWS services such as S3 Glue Lambda Athena and Kinesis BI tools like Tableau Quicksight or Looker for realtime analytics and dashboards.
- Expert in building serverless ETL pipelines with Lambda to automate data ingestion and transformation into Redshift.
- Experience in integrating Redshift Serverless with:
- Experience of NodeJS and Python.
- Working knowledge of any AI technologies.
- Experience in working with AWS services deploying applications to AWS.
- Exposure to DevOps tools and automation.
- Effective communication skills are a must along with a strong customer. service orientation and the ability to clearly discern client needs.
Employment Type
Full Time
