Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

A Data & AI team in Bulgaria is seeking a Snowflake Data Engineer to design, build, and optimize data environments using the latest cloud technologies.

Key Responsibilities

Designing data warehouses and pipelines
Building ETL code and logic
Optimizing data environments
Working in an agile team
Providing analytics solutions

Technical Overview

The role involves working with data warehouses, data lakes, and pipelines utilizing Snowflake, Azure, AWS, and Databricks, with a focus on ETL processes and cloud data platforms.

Ideal Candidate

The ideal candidate is a mid-level Data Engineer with experience in building data warehouses, data lakes, and pipelines using tools like Snowflake, Azure Data Factory, and AWS Redshift. They should have strong SQL and Python skills and be familiar with cloud-based data environments.

Must-Have Skills

Experience with ETL toolsExperience with Data Warehouse technologiesExperience with SQL or PythonFluent English

Nice-to-Have Skills

Experience with SnowflakeAzure SynapseAzure Data FactoryAWS RedshiftDatabricks

Tools & Platforms

SnowflakeAzure SynapseAzure Data FactoryAWS RedshiftDatabricks

Required Skills

ETL toolsData WarehouseSQLPythonSnowflakeAzure SynapseAzure Data FactoryAWS RedshiftDatabricksCloud technologies

Hard Skills

ETL toolsData Warehouse technologiesSQLPythonSnowflakeAzure SynapseAzure Data FactoryAWS RedshiftDatabricksCloud technologies

Soft Skills

Fluent Englishcollaborationproblem-solvingteamworkcommunication

Industry & Role

Industry IT Services / Consulting

Job Function Build and optimize cloud-based data environments for analytics and insights

Keywords for Your Resume

Snowflake Data EngineerETL toolsData WarehouseSQLPythonAzure SynapseAzure Data FactoryAWS RedshiftDatabricksCloud technologiesData pipelinesData lakesData modelsData environmentsAgileSnowflake

Deal Breakers

Lack of experience with ETL tools or Data Warehouse technologies, No proficiency in SQL or Python, Fluent English required

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