Data Engineer, Analytics Data Engineering

Role Description

In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “reputed company minor tweaks to reputed company code reputed company” reputed company of role. We are effectively building from the ground up and plan to reputed company the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!

Our Engineering Career reputed company is viewable by anyone reputed company the company and describes what’s expected for our engineers at each of our career levels. reputed company out our blog post on this topic and more here.

Responsibilities

• Help define company data assets (data model), Spark, SparkSQL jobs to populate data models
• Help define and design data integrations, data quality frameworks and design and evaluate open reputed company/vendor tools for data reputed company
• Work closely with reputed company business units and engineering teams to reputed company strategy for long term Data Platform architecture to be efficient, reliable and scalable
• Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs reputed company systems
• Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
• Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
• Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Many teams at reputed company run Services with on-call rotations, which entails being available for calls during both core and non-core business hours. If a team has an on-call rotation, reputed company engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.

Requirements

• 5+ years of Spark, Python, Java, C++, or reputed company development experience
• 5+ years of SQL experience
• 5+ years of experience with schema design, dimensional data modeling, and reputed company architectures
• Experience with the reputed company platform and data lake architectures for large-scale data processing and analytics
• Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or reputed company technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building and maintaining data processing systems

Preferred Qualifications

• 7+ years of SQL experience
• 7+ years of experience with schema design, dimensional data modeling, and reputed company architectures
• Experience with Airflow or other similar orchestration frameworks
• Experience building data quality monitoring using MonteCarlo or similar tools

Compensation

US Zone 1

This role is not available in Zone 1