Description


Responsible for driving the design and implementation of specific data models to drive better business decisions through insights from a combination of 3rd party and 1st party data assets. Accountable for developing the necessary enablers and data platform in a cloud Environment and has the responsibility of maintaining its integrity during the life cycle phases. Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools.

Responsibilities
Support the standardization, customization, and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize, and clean data. Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods, and techniques.
Design and develop data applications using selected tools and frameworks as required and requested.
Collaborate with Engineers and Business to build intuitive products that address the needs of our customers.
Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
Gather and process raw data at scale.
Perform tasks such as writing scripts, web scraping, calling-writing APIs, write SQL queries, etc.
Work closely with the engineering team to integrate your work into our production systems.
Process unstructured data into a form suitable for analysis. Analyze processed data.
Participate in design and code reviews to ensure the quality of the products we deliver.
Establish a good working rapport with Development group, System Engineers, Quality Assurance/Testers, and Business users.
Develop scripts or workflows to facilitate complex ingress processes

Education

Bachelor's degree in Computer Science