
Chief Cloud Data Architect
5 days ago
Job Title: Senior Data Engineer (Lead)
Job Overview:We are seeking a highly experienced and skilled Senior Data Engineer to lead our data engineering team. The ideal candidate will have around 6+ years of experience in data engineering or cloud computing data development.
Main 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.
- Create 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.
- Maintain and support Data Pipelines.
- Monitor data load.
- Conduct data validation and quality checks.
- IDentify and optimize ingestion pipelines in consultation with the Customer.
- Data: L2/L3 Support.
- Analyze Glue job failures and restart.
- Fix minor transformation logic or input data issues.
- Resolve dependency failures in Glue workflows.
- Tune job configurations.
- Analyze impact and conduct RCA.
Bachelor's degree in Computer Science, Information Technology, or related field.
Necessary Skills:
AWS Glue, ADF, ADB
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