
Data Engineer
2 weeks ago
~ Around 6+ years of experience in data engineering or cloud computing data development
~ Design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), 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,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.
~ Maintenance and support of Data Pipeline.
~ Data load monitoring
~ Data Validation and quality checks
~ Identify and optimize ingestion pipelines in consultation with Customer
~ Data: L2/L3 Support
~ Investigate Glue job failures and restart
~ Fix minor transformation logic or input data issues
~ Resolve dependency failures in Glue workflows
~ Tune job configurations
~ Impact Analysis and RCA
~8x5 support model
Qualifications
Education details
BTECH, BCA, MTECH,MCA,BSC,MSC
Required Skills
AWS Glue, ADF,ADB, Immediate Joiner
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