Remote Senior Big Data Engineer (4+ years of experience)
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Description:
Work with the Business Analytics & Insights (BAI) team to deliver data solutions in various areas such as Supply Chain, Finance, Operations, Customer Experience, HR, Risk Management, and Global IT.
Lead technical planning for data migration using Azure Data Factory and Azure Data Lake.
Design and implement scalable data pipelines with Azure Databricks.
Develop reusable frameworks for large dataset ingestion.
Ensure data quality and integrity through validation and cleansing mechanisms.
Utilize event-based/streaming technologies for real-time data processing.
Provide technical support to resolve migration challenges.
Stay updated on cloud computing, data engineering, and analytics technologies to recommend best practices.
Requirements:
5+ years of IT experience.
Minimum of 4 years working with Azure Databricks.
Proficiency in Data Modeling and Source System Analysis.
Strong knowledge of PySpark and SQL.
Experience with Azure components: Data Factory, Data Lake, SQL Data Warehouse (DW), and Azure SQL.
Experience with Python for data engineering.
Ability to conduct data profiling, cataloging, and mapping.
Familiarity with data visualization/exploration tools.
Benefits:
Opportunity to work remotely from Romania.
Full-time position in Eastern Europe.
Dynamic and non-hierarchical work culture.
Chance to collaborate with cross-functional teams.
Access to cutting-edge technologies and tools.
Mentorship and guidance from technical leaders.
Opportunity to work on a global scale with a diverse team.
Apply now
Please, let Nagarro know you found this job
on RemoteYeah
.
This helps us grow 🌱.