Responsibilities:

•Work as part of a team to build/ maintain data lake, implement scalable data ingestion routines and high volume/throughput data pipelines in both near real-time and batch modes using best practices of data modeling, ETL/ELT processes.
•Identify underlying data issues using the right Data tools. Work with Data Analytics solutions such as Microsoft PowerBI, Azure Data Factory, Data Lake and Data Bricks.
•Gather business requirements and translate them into robust, scalable, reliable solutions that work well within the overall data architecture
•Opportunity to work on SQL Server data tools (SSAS, SSRS, SSIS)
•Learn to work in a team environment
•Build and maintain client relationship

Requirements:
•Bachelor’s degree in IT, computer science, math, physics, or another related field
•Basic knowledge in performing ETL, Data Analytics and Dashboard building (Tableau /PowerBI)
•Knowledge of programming language (C#, Python), databases
•Detail-oriented and self-starter mentality with the ability to manage multiple projects in a fast-paced working environment