
Leadership Role in Data Engineering
2 days ago
Job Overview:
- This role requires at least 6 years of experience in data engineering or cloud computing data development.
- The successful candidate will design, develop, and optimize ETL/ELT data pipelines using Apache Spark (PySpark or Scala), AWS Glue, and Azure Data Factory.
- Responsibilities include working with structured and unstructured data to build scalable ingestion and transformation workflows across cloud platforms.
- The ideal candidate will build data lake and data warehouse solutions using AWS S3, Azure Data Lake, AWS Glue.
- Collaboration with data scientists, analysts, and application developers is essential for supporting advanced analytics, reporting, and ML workflows.
- Implementation of job orchestration, monitoring, and error handling for reliable pipeline execution is also required.
- Maintenance and support of Data Pipeline are additional responsibilities.
- Monitoring data load and performing data validation and quality checks are key tasks.
- Consultation with customers to identify and optimize ingestion pipelines is necessary.
- Data: L2/L3 Support involves troubleshooting issues related to data processing.
- Investigating Glue job failures and restarting jobs is a critical task.
- Resolving minor transformation logic or input data issues and fixing dependency failures in Glue workflows are essential skills.
- Tuning job configurations is also necessary.
- Conducting impact analysis and root cause analysis (RCA) is a requirement.
- Support for an 8x5 support model is necessary.
Qualifications:
Bachelor's degree in Computer Science or a related field is required. A Bachelor's/Master's degree in relevant fields such as BCA, MCA, MSC, etc. is desirable.
Benefits:
As a Senior Data Engineer (Lead), you will have the opportunity to work with cutting-edge technologies and collaborate with a team of experts in the field.
Requirements:
The ideal candidate should possess excellent problem-solving skills and be able to communicate complex technical concepts effectively.
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