Middle Data Engineer (Python)

Description

Customer is one of the biggest companies on the market of home entertainment consumer electronics devices that strives to provide their clients with high-quality products and services.

This position collaborates with a geographically diverse team to develop, deliver, and maintain systems for digital subscription and transactional products across the Customer’ SVOD portfolio.

Requirements

– 3+ years of intermediate to advanced SQL

– 3+ years of python development (intermediate level is fine: Pandas, Numpy, boto3, seaborn, requests, unittest)

– Experience building ETLs

– Experience with data tools (ex.: Airflow, Grafana, AWS Glue, AWS Athena)

– Excellent understanding of database design

– Cloud expereince (AWS S3, Lambda, or alternatives)

– Agile SDLC knowledge
– Detail oriented
– Data-focused
– Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams
– An ability and interest in working in a fast-paced and rapidly changing environment
– Be self-driven and show ability to deliver on ambiguous projects with incomplete or dirty data

Would be a plus:
– Understanding of basic SVOD store purchase workflows
– Background in supporting data scientists in conducting data analysis / modelling to support business decision making

– Experience in supervising subordinate staff

Job responsibilities

– Data analysis, auditing, statistical analysis
– ETL buildouts for data reconciliation
– Creation of automatically-running audit tools
– Interactive log auditing to look for potential data problems
– Help in troubleshooting customer support team cases
– Troubleshooting and analyzing subscriber reporting issues:
      Answer management questions related to subscriber count trends
      App purchase workflow issues
      Audit/reconcile store subscriptions vs userdb