About Us:
At Derevo, we are dedicated to empowering businesses and individuals to unleash the value of data within organizations. We achieve this by implementing analytics processes and platforms with a comprehensive approach covering the entire cycle necessary to achieve it.

Derevo started in 2010 with a simple idea - to create more than a company, but a community and a space where everyone has the opportunity to build a dream.

At Derevo, we believe in human talent that is free and creative. Being human is our superpower!

Databricks Data Engineer

Summary:

The desired profile should have at least 5 years hands-on experience in designing, establishing, and maintaining data management and storing systems. Skilled in collecting, processing, cleaning, and deploying large datasets, understanding ER data models, and integrating with multiple data sources. Efficient in analyzing, communicating, and proposing different ways of building Data Warehouses, Data Lakes, End-to-End Pipelines, and Big Data solutions to clients, either in batch or streaming strategies.

Technical Proficiencies:

Data Definition Language, Data Manipulation Language, Intermediate/advanced queries for analytical purpose, Subqueries, CTEs, Data types, Joins with business rules applied, Grouping and Aggregates for business metrics, Indexing and optimizing queries for efficient ETL process, Stored Procedures for transforming and preparing data, SSMS, DBeaver

Experience in object-oriented programming, Management and processing datasets, Use of variables, lists, dictionaries and tuples, Conditional and iterating functions, Optimization of memory consumption, Structures and data types, Data ingestion through various structured and semi-structured data sources, Knowledge of libraries such as pandas, numpy, sqlalchemy, Must have good practices when writing code

Intermediate knowledge in