Position: Data Engineer - Python
Company: Valid-X
Experience required: 3y
Category: Python
English level: intermediate
Published: 2021-05-01T00:00:00+03:00

REQUIREMENTS
Our ideal candidate would have experience with all of the below technologies, we can also consider candidates who are willing to learn some of the technologies.

— Strong Python
— Data pipelines with Kafka
— Airflow
— Databricks
— AWS


NICE TO HAVE
— Experience building and optimizing streaming data pipelines coming from event-driven applications
— Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
— Working SQL knowledge and experience working with relational databases
— A successful history of manipulating, processing and extracting value from large disconnected datasets.
— Experience supporting and working with cross-functional teams in a dynamic environment.
— Experience with big data tools: Databricks, Spark, Kafka, etc.
— Experience with relational SQL and NoSQL databases, including Postgres/MySQL and MongoDB.
— Experience with data pipeline and workflow management tools: Airflow/etc
— Experience with stream-processing systems: Spark-Streaming, ksqlDB, Kafka streams etc.

WE OFFER
— Competitive salary
— Dynamic environment of a fast growing company
— Bonuses

RESPONSIBILITIES
— Create and maintain optimal data pipeline architecture,
— Assemble large, complex data sets that meet functional / non-functional business requirements.
— Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
— Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using AWS ‘big data’ and SQL technologies.
— Build analytics tools that utilize the data pipeline to provide actionable insights into customer behaviour, operational efficiency and other key business performance metrics.
— Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
— Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
— Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
— Work with data and analytics experts to strive for greater functionality in our data systems.

PROJECT DESCRIPTION
Develop, modernize and optimize a back-end for a portfolio of online games that are currently being used by 100K+ users. You will work with our data & AI team to make these games safe, secure and fair.