Position: Data Engineer
Company: Altigee
Category: Data Science
Experience required: 3y
English level: upper

We are looking for a savvy Data Engineer to join our growing team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting multiple data needs, systems, and products. The right candidate will be excited by the prospect of designing and optimizing our company’s data architecture to support our next generation of products and data initiatives.

**Responsibilities and Duties:**
— You will architect and build core datasets
— You will work mainly designing, developing, and maintaining optimal data and ETL pipelines and architecture
— Create report and reporting mechanisms
— Develop scheduled jobs as well as on demand analysis systems
— Assemble large, complex datasets that meet functional / non-functional business
— Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
— Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies.
— Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
— Work with stakeholders including the Executive, Product, Engineering, and Design teams to assist with data-related technical issues and support their data infrastructure needs.

**Technical Requirements:**
Candidate should also have experience using the following software/tools:
— Experience in Python, pandas, dask, numpy, pytorch libraries at fluent level
— Experience with AWS, Databricks
— Experience with Web/API programming

 **Nice to have:**
— Spark, Kafka knowledge
— Tensorflow experience
— Market & industry knowledge

**We offer:**
— 18 paid day-offs
— 10 days of paid sick leaves
— 30 day-offs at your own expense
— flexible work schedule + you can work remotely as needed
— cool and warm team
— the company compensates for the completion of courses/training, the purchase of programs required to work on the product
— the company provides all the necessary equipment on its own.