3 дня назад
Azure/AWS/Databricks Data Engineer (Cloud Data Engineering)
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Описание вакансии
Текст:
TL;DR
Azure/AWS/Databricks Data Engineer (Cloud Data Engineering): Designing and implementing data warehouses, data lakes, data models, and pipelines across Azure and AWS with an accent on ETL, SQL/Python development, and Apache Spark. Focus on building analytics solutions, integrating diverse data sources, and delivering cloud data platforms in Agile project teams.
Location: Sofia, Bulgaria; the work model prioritizes in-person collaboration while offering flexibility
Company
is a Fortune 500 global IT services company delivering technology solutions across industries and geographies.
What you will do
- Analyze, design, and implement data warehouses, data lakes, data models, and data pipelines.
- Build ETL code and logic for extracting, transforming, and loading data from diverse sources using SQL and Spark-based programming.
- Work with data platforms across AWS and Azure cloud environments.
- Build analytics solutions that provide insights for clients and end users.
- Collaborate in an Agile project team with iterative goals and short delivery cycles.
Requirements
- Experience with cloud-based data engineering platforms.
- Azure Data Factory or AWS Glue.
- Databricks and Apache Spark.
- SQL and Python programming.
- Bachelor’s degree in Computer Science or an equivalent combination of education and experience.
- Teamwork, communication skills, motivation, and interest in an Agile workplace.
Nice to have
- Azure Data Lake, Azure Blob Storage, or Azure Synapse Analytics.
- AWS S3 or AWS Kinesis.
- Azure Monitor, AppInsights, Key Vault, Azure AD, and data modeling experience.
- CI/CD tools such as ARM templates or Terraform.
- Experience with Jira, Confluence, and Git.
Culture & Benefits
- International environment focused on collaboration, innovation, and professional growth.
- 24 days of paid vacation, medical and life insurance, and monthly food vouchers.
- Premium learning platforms, company-sponsored certifications, and continuous development opportunities.
- Employee recognition and referral programs.
- 24/7 wellbeing support for employees and their families.
- In-person collaboration with flexibility for different work styles and circumstances.
Hiring process
- Submit a CV in English.
- Only shortlisted candidates will be contacted.
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