Requirements

Expected technologies

AWS

Microsoft Azure

Google Cloud Platform

Cloud Dataflow

BigQuery

Cloud Dataproc

Cloud KMS

Pub/Sub

Google Kubernetes Engine

Apache Beam

Kafka

Spark

Snowflake Data Cloud

Azure SQL

Azure Function

Power BI

Terraform

Redshift

Glue

Athena

Kinesis

Lambda

Python

Scala

Java

Bash

Our requirements

• Good experience as an Architect and/or Technical Leader in Cloud or Big Data projects in the field of data processing and visualization (in different phases of SDLC);
• Practical knowledge of one of the following clouds: AWS, Azure, GCP in the area of Storage, Compute (+Serverless), Networking and Devops supported by work on commercial projects;
• Familiarity with at least few of the following technologies: Cloud Dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, Databricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda;
• At least basic command of one of the programming languages: Python, Scala, java, bash;

Your responsibilities

• Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture);
• Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment.
• Data model design, data flow documentation.
• Supporting the Team as a Technical Leader, ensuring system compliance with standards and best practices in software development.