
Lead Data Architect
3 days ago
Job Description:
Data Engineering LeadWe are seeking an experienced Data Engineer to lead our team of data experts in designing, developing, and optimizing complex data pipelines. The ideal candidate will have a strong background in data engineering and cloud computing, with experience in working with structured and unstructured data.
Key Responsibilities:
- Design, develop, and optimize ETL/ELT data pipelines using Apache Spark, AWS Glue, and Azure Data Factory.
- Collaborate with cross-functional teams to build scalable ingestion and transformation workflows across cloud platforms.
- Maintain and support existing data pipeline infrastructure.
- Implement job orchestration, monitoring, and error handling for reliable pipeline execution.
- Perform impact analysis and root cause analysis for pipeline failures.
Required Skills and Qualifications:
- Around 6+ years of experience in data engineering or cloud computing data development.
- Strong understanding of data engineering concepts and practices.
- Experience with Apache Spark, AWS Glue, and Azure Data Factory.
- Ability to work collaboratively with cross-functional teams.
- Bachelor's degree in Computer Science, Information Technology, or related field.
Benefits:
- Opportunity to work on complex data engineering projects.
- Collaborative and dynamic work environment.
- Professional growth and development opportunities.
Others:
- The selected candidate will be required to maintain confidentiality and handle sensitive information with care.
- The role requires the ability to work flexible hours, including evenings and weekends, as needed.
- The position is based in [location].
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