BlackStone eIT, a leading computer software company, is seeking a talented and experienced Data Engineer to join our dynamic team. As a Data Engineer at BlackStone eIT, you will be responsible for designing, developing, and maintaining scalable data infrastructure and systems. You will work closely with cross-functional teams to gather data requirements, design data pipelines, and ensure data quality and integrity. In this role, you will have the opportunity to work on diverse and challenging projects, leveraging the latest technologies and methodologies. We are looking for individuals who are passionate about data engineering and possess strong problem-solving and analytical skills.
Responsibilities
Design, build, and maintain scalable data pipelines and data systems
Collaborate with cross-functional teams to understand data requirements and develop appropriate solutions
Create and optimize databases and data models for efficiency and performance
Implement and automate ETL processes to extract, transform, and load data from various sources
Ensure data quality and integrity by performing data validation and implementing data quality checks
Develop and maintain documentation related to data infrastructure and processes
Troubleshoot and resolve data-related issues
Stay up-to-date with the latest trends and technologies in data engineering and data management
Requirements
Bachelor’s degree in a relevant field
3+ years of experience in Agile/Kanban
6+ years of experience in ETL
3+ years of experience in Big Data
6+ years of in DWH
6+ years of experience in SQL
4+ years of experience in Python
Tools:
Azure DataLake: 5+ years of experience
Azure SQL/Snowflake or similar: 5+ years of experience
Azure Databricks: 5+ years of experience
Talend: 3+ years of experience
Jira/Azure DevOps or similar: 3+ years of experience