TL;DR
Data Engineer (DataBricks): Design, build, and maintain ETL processes, transforming raw data into actionable insights with an accent on data quality and integrity. Focus on optimizing large-scale data pipelines and leveraging Azure Databricks for advanced data processing and analytics.
Location: Remote. Bulgaria and Poland only specified as remote locations.
Company
hirify.global is a company that values innovation and teamwork where you contribute to the company's success, not just a single project.
What you will do
- Design, build, and maintain ETL processes, transforming raw data into actionable insights
- Manage and optimize large-scale data pipelines, ensuring data quality and integrity
- Develop and optimize SQL queries for efficient data extraction, transformation, and analysis
- Collaborate with cross-functional teams to understand data requirements and implement effective data solutions
- Utilize Python and PySpark for data engineering tasks, including scripting and automation
- Leverage Azure Databricks for advanced data processing and analytics
Requirements
- Proven experience as a Data Engineer in a professional, production environment
- Strong programming skills in Python and solid understanding of ETL processes
- Advanced proficiency in SQL and experience working with large datasets
- Hands-on experience with Azure Databricks and Azure Data Factory (ADF)
- Solid understanding of data modeling, data warehousing concepts, and performance tuning
- Strong expertise in Databricks, including Delta Tables and Delta Live Tables
Nice to have
- Experience with data governance and data cataloging tools
- Familiarity with CI/CD practices and version control systems (Git)
- Understanding of data security and privacy best practices
- Experience with additional cloud services or platforms
Culture & Benefits
- As per the laws of your country vacation time.
- Health insurance policy for you and your loved ones.
- 10 days sick pay without a doctor's note, afterwards - as per the laws of your country
- Time off for state holidays according to the official calendar, regardless of the client’s schedule
- Pleasant environment with two large corporate parties and many small get-togethers for colleagues
- Solving technical and everyday problems at work with comfort service
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