
Leading Cloud Data Engineer
1 day ago
Job Overview:
As a senior-level data engineer, you will be responsible for designing and implementing scalable data engineering solutions using Apache Spark, AWS Glue, and Azure Data Factory. This role requires collaboration with data scientists, analysts, and developers to support advanced analytics, reporting, and machine learning workflows.
Key Responsibilities:
- Develop and maintain large-scale data pipelines using industry-leading technologies.
- Collaborate with cross-functional teams to integrate data engineering solutions into business-critical applications.
- Design and implement data warehousing and business intelligence systems to drive data-driven decision-making.
- Provide expert-level support for data-related issues, including troubleshooting, root cause analysis, and configuration optimization.
- Work closely with customers to understand their data needs and develop tailored solutions to meet those requirements.
Requirements:
- 6+ years of experience in data engineering or cloud computing data development.
- Bachelor's degree in a relevant field (BTECH, BCA, MTECH, MCA, BSC, MSC).
- Proficiency in required skills: AWS Glue, ADF, ADB, and cloud computing platforms.
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