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Cloud Computing Data Development Leader
2 weeks ago
Job Summary
">We are seeking a seasoned data engineering leader to spearhead the design, development, and optimization of ETL/ELT data pipelines using Apache Spark, AWS Glue, and Azure Data Factory. The ideal candidate will possess around 6+ years of experience in data engineering or cloud computing data development and work with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
">Responsibilities:
">- ">
- 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, 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.">
- Maintenance and support of Data Pipeline.">
- Data load monitoring.">
- Data Validation and quality checks.">
- Identify and optimize ingestion pipelines in consultation with Customers.">
- 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.">
- ">
Qualifications:
">- ">
- BTECH, BCA, MTECH, MCA, BSC, MSC.">
- AWS Glue, ADF, ADB, Immediate Joiner.">