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Senior Cloud Data Architect
2 weeks ago
About the Role:
">We are seeking a highly skilled Data Engineer to lead our team and drive the development of cutting-edge data pipelines.
">- ">
- Around 6+ years of experience in data engineering or cloud computing data development is required, with expertise in designing, developing, and optimizing ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.">
- The ideal candidate will have extensive knowledge of working with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.">
- They should be able to build data lake and data warehouse solutions using AWS S3, Azure Data Lake, and AWS Glue, as well as collaborate with data scientists, analysts, and application developers to support advanced analytics, reporting, and ML workflows.">
- In addition, the successful candidate will be responsible for implementing job orchestration, monitoring, and error handling for reliable pipeline execution.">
- Maintenance and support of Data Pipeline, data load monitoring, data validation and quality checks, identifying and optimizing ingestion pipelines in consultation with customers, data L2/L3 support, investigating glue job failures and restart, fixing minor transformation logic or input data issues, resolving dependency failures in glue workflows, tuning job configurations, impact analysis, and RCA are also key responsibilities of this role.">
Qualifications:
">Bachelor's degree in Computer Science, Information Technology, or related field, along with relevant work experience.
">Required Skills:
">AWS Glue, ADF, ADB, Cloud Computing, Data Engineering, Data Science, Machine Learning
"],