Read, extract, transform, stage and load data to selected tools and frameworks as required and requested.
Gather and process raw data at scale.
Design and develop data applications using selected tools and frameworks as required and requested.
Perform tasks such as writing scripts, web scraping, calling 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.
Support business decisions with ad hoc analysis as needed.
Monitoring data performance and modifying infrastructure as needed.
Define data retention policies.
Collaborate with Engineers on the team to build intuitive products that address the needs of our customers
Participate in design and code reviews to ensure the quality of the products we deliver
Mentor more junior engineers on designing robust applications and implementing maintainable code
Deliver well-tested, maintainable and robust code
6 – 10 years of recent experience in data engineering.
Master’s Degree or more in Computer Science or a related field.
A solid track record of data management showing your flawless execution and attention to detail.
Strong knowledge of and experience with statistics.
Programming experience, ideally in Python, Spark, and a willingness to learn new programming languages to meet goals and objectives.
Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
Experience in MapReduce is a plus.
Deep knowledge of data mining, machine learning, natural language processing, or information retrieval.
Experience processing large amounts of structured and unstructured data, including integrating data from multiple sources.
A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.
Experience in production support and troubleshooting.
