About UsefulBI :

UsefulBI is a leading AI-driven data solutions provider specializing in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. We help businesses turn complex data into actionable insights through our innovative products and services.

Overview :

UsefulBI is looking for highly skilled candidates with expertise in generating powerful business insights from very large datasets. The primary aim is to enable needle-moving business impacts through cutting-edge statistical analysis. We are looking for passionate data engineers who can envision the design and development of analytical infrastructure to support strategic and tactical decision-making.

Experience Required :

- 5+ years' experience in Data Engineering.

- Expert in the management, manipulation, and analysis of very large datasets.

- Relevant analysis work and domain-area work experience.

Tech Stack :

- Python, Pyspark, Databricks, AWS/Azure, SQL, R, SAS.

Key Responsibilities :

- Create and maintain optimal data pipeline architecture.

- Assemble large, complex data sets that meet functional / non-functional business requirements.

- Identify, design, and implement internal process improvements: automating manual processes, etc.

- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.

- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.