• Citizen

• Full Time

• Direct Hire

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 16th Sep 2022

What you will do:

• Identifies, designs, and implements internal process improvements: automating manual processes, optimizing data delivery, designing infrastructure for greater high availability, redundancy, scalability, fault tolerance, monitoring etc.

• Proficient in data warehouse design and implementation - data warehouse core concepts, data warehouse modelling, facts/dimensions. Knowledge on modern data warehouse architecture

• Experience with batch and real-time data integration patterns include ELT/ETL experience Build data pipelines to assemble large, complex sets of data that meet non-functional and functional business requirements. Experience in Informatica Cloud or Informatica Powercenter or similar

• Complete design, code review, and test case reviews to improve and set the bar for the quality of the delivery. Providing guidance for the engineering team while designing the data integration applications.

• Contribute to a positive culture of continuous improvement and operational excellence by identifying and implementing process improvements where appropriate.

• Work with stakeholders including the leadership, product, customer teams to support their data infrastructure needs while assisting with data-related technical issues

• Collaborate with technical leads, business users, system analysts, developers, and ecosystem partners to bring innovative ideas from conception to launch at scale. Work closely with data architect, SMEs and other technology partners to develop & execute on the data architecture and product roadmap

What you will bring:

• Solid experience, developing and implementing Data Warehouse Architectures, and experience in SQL across different platforms including structured and unstructured data from various enterprise sources..

• Experience in writing and executing complex SQLs. Experience building data solutions within any cloud platforms using Postgres, Informatica, Redshift, Tableau and other similar services and tools

• Experience or demonstrated understanding with real-time data streaming tools like Kafka, Kinesis or any similar tools

• Proven design and architecture technical skills in data modeling, data management, data pipelines, ETL/ELT and data retention concepts and practices.

• Shows a strong ownership of deliverables.

• Great problem-solving capabilities, troubleshooting data issues and experience in stabilizing big data systems • Good communication skills both written and verbal, with ability to communicate or convey the results to audience at all levels. Excellent presentation skills as youll be regularly interacting with stakeholders and engineering leadership.