Strong experience in ETL processes implementing Data warehouse concepts
Hands on development experience using Snowflake & Matillion tools
Should have worked on Cloud migration preferably on Azure
Prior experience of working in end-to-end EDW project as a technical developer
Understanding Data requirement document architecture design and can be able to prepare Low level design
Should be able to play a key role between offshore team and customer stake holders
Job Summary:
A Technical Lead owns the deliverables of a sub-team to meet business objectives.
A person in this role interfaces with several stakeholders including project and delivery teams as well as specialists and technical architect to ensure alignment of technical deliverables and architecture.
They are responsible for ensuring quality, timeliness, and efficiency of deliverables by bridging architecture, design, and implementation processes.
They facilitate end-to-end technical implementation of the architecture as per the business requirements.
Job Responsibilities:
Understand the business impact of project requirements and ensure adherence to the architecture by the technical team
Drive technical interactions with the customer and team for effective requirement analysis and accurate estimation
Possess domain knowledge and facilitate creation of conceptual prototypes for POCs
Follow and improve technical processes, guidelines, and best practices for the project
Ownership of the understanding of architecture and non-functional requirements by the team
Identification and communication of risks and issues
Specialization:
At Client, we work on modernizing the on-premises legacy data warehouses to cloud based data warehouse solutions like AWS RedShift, Azure Synapse, Google Big Query, and Snowflake.
We work on migrating on-premises MPP systems like Teradata, Greenplum, Netezza, and Exadata to cloud data warehouse and scale them by using distributed computing solutions on the cloud.
We have dedicated Center of Excellences (CoEs) on key technology platforms including Business Objects, IBM, Oracle, Microsoft BI, Informatica, MicroStrategy, SAS, MDM, Big Data and Opensource.