Middle/Senior Data Engineer (AMCN Data) (IRC274051)

Job Description

- 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, preferably in python

- 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

 

Department/Project 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.

Required languages

English B1 - Intermediate
Python, SQL, AWS
Published 2 September
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