Data Developer

2 weeks ago

Denver, United States Compunnel Full time

Top Skills

Hadoop/Hive experience

Strong SQL

AWS Experience (EMR, Lambda, Glue, Step Functions)

Experience working with large data sets (billions of records per day)

Write and review code

Python scripting (PySpark, control scripts)

Building and managing data pipelines

Query and data pipeline optimization

Strong communication and collaboration skills

Ability to learn new technologies and skills to incorporate into existing work

Description

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

Education: Bachelors Degree #J-18808-Ljbffr

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