
DataEngi
Joined in
2022
Deliver value faster
Based on our experience in long term projects we know which experts are best fit to implement your ideas and we will supply the best combination of experienced specialist for your tasks.
Improve business effectiveness and happiness
We'll help you to implement your concept starting from analyze and design to the implementation using cutting edge technologies, testing, deploying and supporting the solution.
Based on our experience in long term projects we know which experts are best fit to implement your ideas and we will supply the best combination of experienced specialist for your tasks.
Improve business effectiveness and happiness
We'll help you to implement your concept starting from analyze and design to the implementation using cutting edge technologies, testing, deploying and supporting the solution.
Website:
https://www.dataengi.com/
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Β· 13 views Β· 3 applications Β· 2d
Senior Data Engineer (Azure, Databricks) to $2500
Full Remote Β· Ukraine Β· 4 years of experience Β· Upper-IntermediateSummary: We are seeking a highly skilled Senior Data Engineer to join our team and contribute to a project focused on building robust data solutions within the Azure cloud environment. The ideal candidate will have extensive experience with Azure data...Summary:
We are seeking a highly skilled Senior Data Engineer to join our team and contribute to a project focused on building robust data solutions within the Azure cloud environment. The ideal candidate will have extensive experience with Azure data services, Databricks, and ETL pipeline development.
Responsibilities:
- Design, develop, and maintain ETL pipelines using Azure Data Factory and Databricks.
- Build and optimize data storage and processing solutions within Azure (Azure Synapse Analytics, Azure Data Lake Storage).
- Develop Spark code (Python/Scala) for data transformation and analysis in Databricks.
- Implement data modeling and data warehousing solutions.
- Collaborate with cross-functional teams to understand data requirements and deliver effective solutions.
Ensure data quality, security, and compliance.
- Implement CI/CD pipelines for data engineering processes.
Qualifications:
- Must-have:
- 5+ years of experience as a Data Engineer.
- Extensive experience with Azure data services (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage).
- Strong experience with Databricks and PySpark.
- Proficiency in Python and/or Scala.
- Solid SQL skills.
- Experience in ETL development and data warehousing.
- Nice-to-have:
- Azure certifications (e.g., Azure Data Engineer Associate).
- Experience with other Big Data technologies.
- DevOps experience.
- Financial industry experience.