Acquiring data from primary or secondary data sources, developing and maintaining databases, data systems – reorganising data in a readable format
Develop algorithms to transform data into useful, actionable information
Performing analysis to assess quality and meaning of data, and providing quality assurance of imported data
Identifying, designing and implementing internal process improvements including re-designing infrastructure for greater scalability, optimising data delivery, and automating manual processes
Supporting initiatives for data integrity and normalisation, explore ways to enhance data quality and reliability
Evaluating changes and updates to source production systems and accordingly making suitable modifications in the data warehouse
Building required infrastructure for optimal extraction, transformation and loading of data from various data sources
Identify opportunities for data acquisition
Ensure compliance with data governance and security policies
Good grip on BigQuery SQL and decent knowledge in Python.
Proficiency in statistics and statistical packages like Google Spreadsheets to be used for analyzing data sets
Proficiency in dbt and git is an added advantage
Strong analytic skills related to working with unstructured datasets
Ability to build and optimize data sets, data pipelines and architectures
Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions
Ability to build processes that support data transformation, workload management, data structures, dependency and metadata
Have a good eye for accuracy and attention to detail
Good verbal and written communication skills
Should be a good team player and possess a positive attitude towards work ethics
Alignment to company's vision and culture
Prior experience in the field (at least 1-2 years) is an added advantage
Ability to learn other tools which enhances data warehousing based on requirements
Flexible to extend work hours to deliver the requirements
