Data Engineer at PixelPlex

PixelPlex is currently looking for an experienced Data Engineer to join our new project. It is a Business Intelligence and Data Visualization service designed especially for NFT enthusiasts. Service uses on-chain, social and other metrics, enriches it to deliver unique insights ready for decisions.

Main focus

• Data Quality: automating the DQ process using Great Expectations;

• Data Marts: presenting data marts, optimizing analyst code if necessary;

Ensuring the collection and data loading into analytical and hot databases, including obtaining structured and unstructured data from various sources, preparing, cleaning, and pre-processing data from external sources, and building aggregates;

Responsibilities

• Creating and improving data processing processes (optimizing processor groups, optimizing data marts);

• Participating in the development of data processing solutions within ML projects and deploying pipelines;

• Developing and optimizing procedures for generating detailed data layers (raw to ods) and data mart layers in DataLake and hot database for online reporting;

• Implementing CI/CD processes and monitoring the developed data processing processes (Grafana, Prometheus);

• Handling ad-hoc queries.

Requirements

• Knowledge of database principles and HD design;

• Experience in ETL process development;

• Good understanding of ML pipelines and their deployment to production;

• Experience using Airflow (or other industry-standard pipeline orchestrators, such as Luigi, Dagster, etc.);

• Experience with high-load distributed data storage and processing systems;

• Excellent knowledge of SQL, query optimization experience;

• Willingness to learn, grow, and be motivated to achieve goals.

Nice to have

• Experience in Python or Node.js development;

• Knowledge of DevOps tools;

• Experience with cloud services.