Job Description

This is a remote position.

As a Senior Data Engineer, your fundamental aim is to outpace data scientists and analysts. You will provide them with the infrastructure and tools that will enable them to come up with end-to-end solutions to business problems that can be made and sustained quickly.

This requires more than creating and taking care of ETL pipelines. We need ingenuity, imagination, and solutions that can have a significant effect on our speed. In turn, we will give you autonomy and leeway to put your thoughts into action.

What you'll do

Build and execute data modeling projects across multiple tech stacks i.e. big data, MPP, OLAP using agile development techniques.
Build scalable, highly performant infrastructure for delivering clear business insights from a variety of raw data sources.
Follow data-driven decision-making practices and drive growth experiments by performing statistical analysis of data.
Develop batch & real-time analytical solutions, prototypes, and proofs of concept for selected solutions.
Build frameworks and tools to empower our data scientists and analysts.
Implement complex analytical projects with a focus on collecting, managing, analyzing, and visualizing data.
Be in constant communication with team members and other relevant parties and convey results efficiently and clearly.

Required Skills and Qualifications

3+ years of experience working with Python, Java, Scala or an equivalent language for data processing (Python preferred)
Extensive experience with Dimensional Modeling, full-scale Data Lake implementation, Lambda Architecture
Familiarity with AWS, GCP or Azure cloud platforms, data warehouses, low-level servers, caching technologies, messaging queues and web protocols
Experience building or working with low-latency, high-throughput, high-scalability data lake or systems
Strong understanding of SQL and NoSQL databases
Familiarity with the basic principles of distributed computing and data modeling
Extensive experience with object-oriented design and coding and testing patterns, including experience with engineering software platforms and data infrastructures
Experience in analysing customer funnel data using Google Analytics, Facebook Audience Network, Google Ads, Mixpanel etc.
Experience with Grafana, Tableau, QuickSight and/or other analytical tools
Working experience with Airflow and Luigi is a big plus
Working experience with Scala is a plus
Familiarity with Amazon RedShift, Google Big Query, Snowflake and similar data warehousing tools
Strong engineering mindset - build automated monitoring, alerting, self-healing (restartability/graceful failures) features while building the consumption pipelines
Experience mentoring junior engineers in all aspects of data infra design, development, and testing
Excited about collaborating daily with your team and other groups while working via a distributed model.
Open to receiving constructive feedback.
Must be a world-class individual contributor to thrive at Writesonic. You will not be here just to tell other people what to do.

Performance Indicators

SLO achievement per data source
Infrastructure Cost vs Plan
Number of days since last environment audit
Mean Time between Failures (MTBF)
Mean Time to Repair (MTTR)

Here's why you'll love working with us:

We are fully remote and our team members work flexibly.
We always encourage our team members to take the initiative. They set their own tasks & deadlines.
Just like our AI writing assistant, we too, work in a fast-paced environment.
You'll get ample space to showcase your creativity & experiment.
We believe in working together instead of following a long chain of command.