Note: The job is a remote job and is open to candidates in USA. Accylerate is seeking a skilled Senior Data Engineer with expertise in data analytics and AI. The role involves collaborating with Agile teams to design, develop, and support technical solutions while leveraging AWS services and building complex applications.
Responsibilities
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack 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 micro-services, 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
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 real-time 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
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