Cloud Data Developer

Data Platforms Connectivity Insights Focus & background:

The Data Platforms Connectivity Insights team is responsible for building robust, scalable reporting and analytics solutions for Charter's high-speed data (internet) and Wi Fi platforms. The team provides recurring production reports and in-depth analyses on all new and existing products, features, and enhancements that are deployed to 30 million internet customers.

The team is comprised of lead, senior, and associate developers, as well as management. New team members will join existing team that manages an end-to-end pipeline from data ingestions, aggregations, optimizations, and monitoring to report development, statistical analysis, data science, and presentation of findings.

The Data Developer works within the ETL and Operations team to build high quality data pipelines driving analytic solutions from diverse, disparate sources of data.

This role requires a working understanding of data architecture, data engineering, and data analysis. The ideal candidate is a skilled data engineer with experience creating data products supporting analytic solutions. They are able to identify and implement solutions in a highly technical environment and work as part of a technical, cross-functional team. Strong problem-solving and troubleshooting skills are a must.

This role focuses on designing, developing, and maintaining datasets within AWS with oversight and support from Lead Developers. Day-to-day responsibilities include:

• Coordinating, building, and managing new data ingests
• Implementing updates, fixes, and optimizations across suite of production jobs
• Providing feedback on and enacting changes for improvements across the team including both technical and process updates
• Learning about and becoming familiar with data assets, processing jobs and pipelines, and tools
• Partnering with data analysts and data scientists to design, build, and deploy aggregation processes

Top Skills:

• Strong SQL, Python scripting (Py Spark, control scripts), Write and review code
• Building and managing data pipeline, ETLs, Query and data pipeline optimization
• AWS experience (EMR, Lambda, Glue, Step Functions, Athena) and Airflow (MWAA, AWS-native orchestration)
• Hadoop/Hive experience, Spark experience (including Py Spark)
• BI experience: Tableau, SQL-based reporting, Excel
• Experience working with large data sets (billions of records per day)
• Strong communication and collaboration skills, PowerPoint /presentation skills
• Ability to learn new technologies and skills to incorporate into existing work

Nice to have:

• GitLab /Bit Bucket Experience
• Terraform / AWS Cloud Formation Experience
• Additional BI development exposure
• Experience with hybrid Analyst/Developer workflows