
Chief Data Architect
3 days ago
We are seeking a highly skilled data professional to design, develop, and optimize data pipelines and data integration solutions in a cloud-based environment.
The ideal candidate will have strong technical expertise in Azure, data engineering tools, and advanced ETL design along with excellent communication and problem-solving skills.
Key Responsibilities:- Design and develop advanced ETL pipelines for data ingestion and egress for batch data.
- Build scalable data solutions using Azure Data Factory (ADF), Databricks, Spark (PySpark & Scala Spark), and other Azure services.
- Troubleshoot data jobs, identify issues, and implement effective root cause solutions.
- Collaborate with stakeholders to gather requirements and propose efficient solution designs.
- Ensure data quality, reliability, and adherence to best practices in data engineering.
- Maintain detailed documentation of problem definitions, solutions, and architecture.
- Microsoft Certified: Azure Fundamentals (preferred).
- Microsoft Certified: Azure Data Engineer Associate (preferred).
- Proficiency in SQL, Python, and Scala.
- Strong knowledge of Azure Cloud services, ADF, and Databricks.
- Hands-on experience with Apache Spark (PySpark & Scala Spark).
- Expertise in designing and implementing complex ETL pipelines for batch data.
- Opportunity to work on large-scale data projects.
- Chance to collaborate with experienced professionals.
- Room for growth and professional development.
This is a unique opportunity for a data engineer to join our team and contribute to the development of innovative data solutions.
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