Responsibilities
 Analyze and organize raw data
 Build data systems and pipelines
 Evaluate business needs and objectives
 Interpret trends and patterns
 Conduct complex data analysis and report on results
 Prepare data for prescriptive and predictive modeling
 Build algorithms and prototypes
 Combine raw information from different sources
 Explore ways to enhance data quality and reliability
 Identify opportunities for data acquisition
 Develop analytical tools and programs
 Collaborate with data scientists and architects on several projects
Requirements and skills
 Previous experience as a data engineer or in a similar role
 Technical expertise with data models, data mining, and segmentation techniques
 Knowledge of programming languages (e.g. Java and Python)
 Hands-on experience with SQL database design
 Great numerical and analytical skills
 Degree in Computer Science, IT, or similar field; a Master’s is a plus
 Data engineering certification (e.g IBM Certified Data Engineer) is a plus
 Knowledge in Informatica
Skills:
 Build ETL Pipelines. Build and support the tools we use for monitoring data hygiene and the health of our pipelines
 Automate processes to reduce manual data entry
 Ability to work with semi-structured and unstructured data
 Interact with data via APIs. Knowledgeable on the creation of API endpoints