Data Engineer | RemoteWLB

Description

Device42 is the most comprehensive agentless discovery system for Hybrid IT available today. Device42 can continuously discover, map, and optimize infrastructure and applications across data centers and cloud, providing accurate views of your IT ecosystem. Customers in more than 60 countries use these capabilities as they manage and modernize IT infrastructures and application landscapes and adopt DevOps practices.

Device42 is looking for a Data Engineer to support our software development organization. As a Data Engineer, you will actually see your efforts in the software that Device42 offers. You'll work to make data pipelines highly scalable and efficient, help build and implement a test automation framework, use cutting-edge database and engineering technologies to define and dissect data performance issues, provide analytical insights.

What You Have:

5+ years of experience in Data Engineering.

Excellent problem-solving capabilities.

Demonstrated ability with ETL design and implementation.

Fluency with SQL, Python, and Shell scripting.

Experience with relational and time series databases.

Fluent in query optimization.

Familiarity with both cloud and on-prem data warehouses and ETL tools.

Understanding of the difference between batch, change data capture, and streaming – and when best to use each.

Experience with performance testing.

Advanced knowledge of Git, Bitbucket, or other Version Control System.

Experience with Agile methodology.

Knowledge of networking and IT infrastructure.

Experience with database performance tuning. Knowledge of DataMart architecture and implementation.

Experience with data analysis and visualizations.

Experience with AWS databases, Kafka, Kubernetes, and Glue is a plus.

Proficient with Django and Go is a plus.

Experience with Jira is a plus.

What You'll Do:

Perform exploratory data analysis to determine which questions can be answered effectively with a given dataset.

Trace code (forward and backward) through bitbucket.

Analyze SQL, Django and Python code for opportunities for improvement.

Review customer logs for errors and database processes.

Work with stakeholders to model data and provide it for downstream use in embedded analytics.

Conduct performance testing. Analyze test logs and create test reports.

Take initiative to implement test automation efforts.

Review requirement specifications and technical designs.

Participate in database design efforts and code reviews.

Create reports and dashboards.

Develop and automate data quality checks.

We believe in hiring the best people wherever they’re located. We offer best in class benefits which includes 100% health, vision, dental premiums coverage for employees and their dependents. We also have a flexible time off policy, companywide recharge days, and opportunities for growth and career development.

Device42 is committed to being an equal opportunity employer and believe that strong teams are built from diverse and unique perspectives. If there is anything we can do to improve your recruiting experience, let us know at [email protected].