This is a W2 position we are looking to fill.
It's a Contract (6+ Months) role of a Data Engineer
The consumer loyalty data science team consists of data scientists who create data science models on the topics of churn, expected lifetime, customer lifetime value, upgrade propensity, and customer satisfaction. Algorithmic approaches include binary classification, multi-class classification, time series forecasting, regressions and random forests.
Qualifications:
- 2+ years of experience as a Data Engineer in a similar role
- Experience with data modeling, warehousing and building pipelines
- Proven experience in designing and implementing comprehensive data pipelines for a variety of flows (data integration across systems, ETL processes, machine learning infrastructures)
- Proficient in SQL and Python
Preferred Qualifications:
- The more experience, the better, when it comes to the AWS ecosystem (e.g. GLUE, Athena, S3, Lambda, IAM, SageMaker, CloudWatch, API Gateway), Delta Lake, PySpark, Apache Spark, Airflow, APIs (REST, SOAP, RPC), streaming event data
- Understanding of system architecture and experience with large distributed systems (familiarity with the Apache Spark ecosystem)
- Has prior experience working with Teradata SQL, MS SQL, and IBM DB2 or similar dialects
- Has prior experience in continuous integration and continuous deployment of large scalable data systems
- Has prior experience working with and supporting a data science team
- Familiarity with working on data involving telecoms, mobile providers, ISPs or cable companies
Skills:
- The more experience, the better, when it comes to the AWS ecosystem (e.g. GLUE, Athena, S3, Lambda, IAM, SageMaker, CloudWatch, API Gateway)
- Has excellent SQL skills
- APIs (REST, SOAP, RPC)
- Pyspark
- Teradata and MS SQL
- Strong verbal and written communication skills
- Experience navigating corporate bureaucracy