Senior Software Engineer, Data Engineering
Lisbon, Portugal or Remote
Applications have closed
ThousandEyes, Inc.
ThousandEyes monitors network infrastructure, troubleshoots application delivery and maps Internet performance, all from a SaaS-based platform.Who We Are
The name ThousandEyes was born from two big ideas: the power to see what’s not ordinarily possible, and the ability to collect intelligence from vantage points as diverse and global as the Internet. As organizations depend on cloud services, the Internet has become their defacto network connecting cloud applications to users. Our Internet and cloud intelligence platform is like a ‘Google maps of the Internet’, providing the only collectively powered view of digital experiences end-to-end. We enable our customers made up of the world’s largest and fastest-growing brands, to identify problems before they impact revenue, brand reputation, or employee productivity.
In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within Cisco’s Network Services Business Group, and is a foundational component of Cisco’s growing Observability business.
About The Role
We are looking for a Senior Data Engineer superhero who is passionate about building next generation Analytics infrastructures and products. You will work directly with our data infrastructure, datasets and analytics tools that are used by Product, Engineering, Marketing, Sales, Finance and Customer Success teams every day.
You will contribute to a variety of exciting projects that range from designing robust and fully automated data pipelines to building ML-based applications for improving company-wide productivity and the ThousandEyes product. You have a passion for designing, implementing and operating stable, scalable and efficient solutions that move and analyze large data volumes quickly. You are also a self-starter who is comfortable with ambiguity, pays close attention to detail and has the ability to work in a fast-paced environment.
In the Analytics team we are excited about the impact data can have in our business, product and our customers’ experience – we hope you share our enthusiasm!
Minimum Qualifications
- BS/MS with quantitative focus (e.g. Economics, Computer Science, Mathematics, Physics, Statistics) or equivalent practical experience
- 5+ years of experience in data engineering, software engineering, or other related roles
- 3+ years experience operating databases (e.g. Redshift, MySQL, MongoDB) and advanced query authoring & tuning
- 3+ years of dimensional data modeling & schema design in data warehouses
- Expertise in one or more programming languages (ideally Scala, Java, or Python)
- Experience designing, implementing and maintaining production grade data pipelines
- Knowledge of cloud-based production grade data architectures (e.g. AWS EC2, EMR, Glue, S3, Redshift)
- An eye for automation and instrumentation in all data-related aspects
- Work experience in an interdisciplinary / cross-functional field
Preferred Qualifications
- Working experience in SaaS companies
- Experience developing and operating large scale big data technologies (e.g. Apache Spark, Presto, HDFS, Apache Kafka, Apache Druid)
- Experience with ETL tooling (e.g. Airflow)
- Experience performing quantitative analysis and using data visualization tools to deliver dashboards at scale
- Strong cross-functional and interpersonal skills with demonstrated ability to communicate technical content to general audiences
- Entrepreneurial in nature - able to keep moving initiatives forward in ambiguous situations
Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records.
Why Cisco
#WeAreCisco, where each person is unique, but we bring our talents to work as a team and make a difference powering an inclusive future for all.
We embrace digital, and help our customers implement change in their digital businesses. Some may think we’re “old” (36 years strong) and only about hardware, but we’re also a software company. And a security company. We even invented an intuitive network that adapts, predicts, learns and protects. No other company can do what we do –you can’t put us in a box! But “Digital Transformation” is an empty buzz phrase without a culture that allows for innovation, creativity, and yes, even failure (if you learn from it.)
Day to day, we focus on the give and take. We give our best, give our egos a break, and give of ourselves (because giving back is built into our DNA.) We take accountability, bold steps, and take difference to heart. Because without diversity of thought and a dedication to equality for all, there is no moving forward.
So, you have colourful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us.
We recognize that diverse teams make the strongest teams, and we encourage people from all backgrounds to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Big Data Computer Science Data pipelines Data visualization EC2 Economics Engineering ETL Finance HDFS Kafka Machine Learning Mathematics MongoDB MySQL Physics Pipelines Python Redshift Scala Security Spark Statistics
Perks/benefits: Startup environment
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