Vacancy expired!
SERVICES TO BE PERFORMED
1) Work closely with programs managers to understand their data needs to run the program
2) Build the Data infrastructure and business intelligence pipelines
3) Collaborate with engineering teams and partner BI teams to acquire new data from production systems or between databases
4) Build and deliver high quality data architecture to support business analyst, data scientists, and customer reporting needs.
5) Build and Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers
6) Lead complex data analysis and maintain regular metrics reporting to help stakeholders gain insights into the program
7) Build big data pipeline and machine learning framework
REQUIRED SKILLS
-2+ years of relevant work experience in Big data engineering, ETL, Data Modeling, and Data Architecture.
- Expert-level skills in writing and optimizing SQL.
- Experience with Big Data technologies such as Hive/Spark, AWS EMR, AWS Glue, AWS Lambda and Kinesis.
- Proficiency in one of the scripting languages - python, ruby, java or similar.
- Experience operating very large data warehouses, data lakes and building streaming data pipelines.
- Proven interpersonal skills and standout colleague.
A real passion for technology. We are looking for someone who is keen to demonstrate their existing skills while trying new approaches.
