
Chief Data Pipeline Architect
4 days ago
We are seeking an experienced professional to lead our data engineering team. As a key member, you will be responsible for designing, developing, and optimizing large-scale data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.
Key Responsibilities:
- Design, develop, and optimize ETL/ELT data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.
- Work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
- Build data lake and data warehouse solutions using AWS S3, Azure Data Lake, and AWS Glue.
- Collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.
- Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
Requirements:
- 6+ years of experience in data engineering or cloud computing data development.
- Expertise in Apache Spark, PySpark, Scala, AWS Glue, Azure Data Factory, and other big data technologies.
- Strong understanding of cloud-based data platforms, including AWS and Azure.
- Excellent communication and collaboration skills.
Bachelor's degree in Computer Science, Engineering, or related field.
Required Skills:
- AWS Glue, ADF, ADB.
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