Data Analytics
4 months ago
**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,VishualStudio,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
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