
Skills / Tools
- SQL & Python / PySpark
- AWS Services: Glue, Appflow, Redshift - Mandatory
- Data warehousing basics
- Data modelling basics
Job Description
- Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform. Design/ implement, and maintain the data architecture for all AWS data services
- A strong understanding of data modelling, data structures, databases (Redshift), and ETL processes
- Work with stakeholders to identify business needs and requirements for data-related project
- Strong SQL and/or Python or PySpark knowledge
- Creating data models that can be used to extract information from various sources & store it in a usable format
- Optimize data models for performance and efficiency
- Write SQL queries to support data analysis and reporting
- Monitor and troubleshoot data pipelines
- Collaborate with software engineers to design and implement data-driven features
- Perform root cause analysis on data issues
- Maintain documentation of the data architecture and ETL processes
- Identifying opportunities to improve performance by improving database structure or indexing methods
- Maintaining existing applications by updating existing code or adding new features to meet new requirements
- Designing and implementing security measures to protect data from unauthorized access or misuse
- Recommending infrastructure changes to improve capacity or performance
- Experience in Process industry

About ProtoGene Consulting Private Limited
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1. Upkeep & Maintenance of Hub(s)
2. Supervision of Housekeeping Staff
3. Inventory Management
4. Customer Complaint management
5. Routine Repairs & Maintenance
- Delivering a comprehensive service to enquiring customers
- Possibly delegating certain customer enquiries to specific teams
- Managing a large number of incoming calls and emails
- Managing customers’ accounts
- Keeping a record of customer interaction and details of actions taken
- Communicating with internal teams to discuss sales targets
- Generating sales leads, building sustainable relationships where necessary
- Reporting back on results











