Position: Data Analyst/Engineer
Company: Yalantis
Experience required: 3y
Category: Data Analyst
English level: upper
Published: 2023-03-01T00:00:00+02:00

We’re looking for a Data Engineer who is passionate about data infrastructure and data analytics. Will help the team set the foundation of data science analysis and machine learning models and join a rapidly growing fintech product which we are developing.

It’s a modern mobile banking application that allows you to create and manage accounts for individuals and legal entities, solves real-life problems and helps millions of people in the US.


What you’ll help us do:

- Own, build and continuously improve project data infrastructure.
- Own, build and manage scalable batch/real time pipelines for ingesting, processing, and delivering data to our business users
- Create a framework for Machine Learning model lifecycle management.
- Apply quality measures to ensure data governance and accuracy.
- Work with stakeholders and cross-functional partners to identify business problems, define key metrics and build reporting to monitor and measure performance along those metrics.
- Conduct in-depth data analyses that lead to actionable insights, owning the entire process from ideation to execution to presentation of findings to stakeholders.
- Here’s the experience that will help you to do the job:
- 2+ years of experience in relevant field;
- Able to effectively communicate and work remotely with cross regions, cross cultural, and geographically dispersed teams;
- Experience in building/operating/maintaining fault-tolerant and scalable data processing integrations using AWS;
- Experience in setting up data pipelines and deploying data models to production.
- Understanding ETL/ELT processing in data warehouses;
- Experience using data processing frameworks and orchestration tools such as Airflow(preferably), Luigi, Glue, Dask, Oracle Data Integrator etc;
- Experience with a scripting language Python (preferably), Java or R for analysis;
- Proficient writing SQL queries and with data warehousing concepts, working on Redshift, Snowflake etc;
- Optimistic, enjoys the challenge of building a world changing FinTech start-up from the ground level;
- Team player and works well with business partners across the company;
- Grasp of statistics and experience conducting rigorous data analyses for Business Operations / Marketing / Finance functions;

What you’ll get from working with us:

- great compensation and social packages
- medical insurance
- opportunities for professional growth and support for skills development
- full reimbursement of certifications
- the best networking opportunities with international clients
- knowledge sharing atmosphere
- team building and corporate activities
- special corporate currency and merch store
- full financial and legal support for private entrepreneurs