Vacancy expired!
We are seeking a Data Architect/Senior Data Engineer to join a global IT consulting firm that specializes in five different markets: financial services, health care and government, telecommunications and utilities, manufacturing and distribution. This is a contract, remote capable role. This hands-on role calls for an entrepreneurially minded data architect with demonstrable experience in architecting a data lake, data integration, data modelling, maintaining a data warehouse or data lake house and/or an analytics environment.
What You Will Do:- Play an active role in the design of the client’s Global Data Estate architecture
- Develop, customize, deploy and manage our Data Lake House environment
- Produce scalable automation scripts to create a configurable framework that help automate data processing
- Test and QA of new changes and enhancements developed across the team
- Monitor and maintain the overall performance and stability of the data solutions
- Strong command of SQL along with experience in using Python or similar languages for data engineering
- Excellent understanding of dimensional data modeling and schema design for Enterprise Data Warehouses and/or Data Lake solutions, including experience in ELT/ETL cycle and in building and maintaining large scale, low latency data-marts
- Solid experience in Microsoft Azure tools such as ADLS Gen 2, Azure Databricks, Synapse Analytics, and/or other big data technologies (especially in Azure)
- Experience with PowerBI data visualization tools is a plus (PowerBI)
- Experience in working with Parquet / JSON / XML formats and use of APIs to push and pull data from various data sources
Vacancy expired!