$80K — $100K *
Primary duties & responsibilities:
Lead day-to-day work to acquire, analyze, combine, synthesize, and structure data with clear definitions and sources for analytical consumption
Consult with data consumers to identify meaningful datasets for analytical consumption
Lead day-to-day development of data products using continuous deployment and integration practices
Apply engineering best practices in order to analyze, design, develop, deploy and support data analytics products
Participate in agile story authoring, sizing, and demo sessions for product features
Lead code reviews and provide feedback to the team
Mentor junior engineers
4-5 years of professional experience.
At least 4 years of professional experience in data acquisition, cleansing, feature engineering, debugging and software documentation, using modern languages and practices.
Experience using continuous integration and deployment concepts.
Strong sql skills and background in etl.
Strong python and cloud compute skills.
Proficiency navigating various types of database models and dbms’s to create data sets for analytics and model training and development.
Experience with testing or data accuracy/quality designs.
Experience working in data lake environments.
Experience developing solutions using agile methods.
Experience guiding the work of junior developers.
Basic understanding of analytics and data science applications
Basic understanding of machine learning systems
Self-motivated and able to work with minimal direction
Nice to haves:
Develop the data flow so that data can be shared across the company with one source of truth being the goal.
Understanding and awareness of regulations around the use of pii data.
Experience in devops environment, experience with user adhoc tools: power bi, business objects, tableau; consulting experience
Ability to provide thought leadership throughout the local scrum team
See the big picture and able to incorporate business understanding into design and approach to achieve current value and prepare for future benefit.
Some experience with aws data science and analytics cloud technologies such as s3, emr, spark, pyspark, rds, jupyterlab, etc., and digital analytics tools such as adobe analytics and heap.
Valid through: 11/9/2021
$80K — $100K *
10 days ago