Middle Data Engineer

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 python development (middle level, pandas, bulding APIs)
• Beginner to middle SQL
• Experience building ETLs in python
• Experience with data tools (ex.: Airflow, Grafana, Redash, Plotly, AWS Glue, AWS Athena)
• Other AWS experience
• Advanced skills in Excel
• Agile SDLC knowledge
• Detail oriented
• Data-focused
• Strong verbal/written communication, 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
• Expereince with mixpanel, mparticle, youbora and similar systems

Job responsibilities:

• Design, develop, and maintain scalable data migration pipelines to transfer data between legacy and target systems while ensuring data integrity, consistency, and minimal downtime
• Analyze source and target data models, map transformation rules, and implement ETL/ELT processes to support complex migration scenarios and business requirements
• Perform data validation, reconciliation, and quality checks to identify discrepancies, troubleshoot migration issues, and ensure accuracy of migrated datasets
• Collaborate with cross-functional teams including software engineers, QA, business analysts, and project managers to plan migration activities, resolve dependencies, and support release execution
• Optimize migration performance, automate repetitive processes, and document migration workflows, technical specifications, and operational procedures to support maintainability and future enhancements