Senior Data Engineer

neoshare is an innovative fintech company that develops and operates a SaaS platform for project finance and large-volume lending transactions. We help banks and real estate companies digitize and optimize their processes and increase efficiency.

Tasks:

You build the fundaments for our AI systems!

You collaborate with Data Scientists, Machine Learning Engineers, and product development to preprocess, analyze, and prepare data for modeling

You design, build and optimize the data infrastructure, including efficient data storage and processing

You deal with large structured and unstructured datasets (1M rows, 1TB of various document types) → Buzzwords: Spark, MapReduce, Hadoop, Distributed Computing, Parquet (Data format)

You do testing and evaluation on the data setup

And in case you аrе curious the following task might hook you up:

Releasing new model versions to our development and production systems

Monitoring our models and systems Data drift, Feature Store, Model Registry, MLFlow

Automating the way Machine Learning and AI solutions get in production!

Requirements:

You bring experience in working with different databases and query languages

You have experience in building data-intensive systems, e.g real-time data systems

You possess 5+ years of experience in developing and optimizing data infrastructures

You are interested in the fundamentals of Artificial intelligence, Machine Learning, and Data Manipulation/Processing

You bring experience with Data pipelining tools like Spark, Airflow, Apache NiFi, Dagster, Kafka or any proprietary solution

You know Docker or Kubernetes

You are curious in how end2end Data and AI systems are built and designed

You are fluent in English, Python, and SQL

Your excellent forehand in table tennis would be beneficial

Benefits:

Flexible working hours

Ability to work remotely – no fixed office days

13th salary in December

26 days of paid leave

Ability to choose hardware (MacBook or Lenovo).

Additional health insurance with dental coverage and a Multisport card.

If you are interested, please send us your CV in English!