Manager I, Data Engineering & Java
Tasks
- Architect end to end data solutions for batch and streaming
- Define data engineering strategy tooling and infrastructure improvements
- Design and maintain scalable resilient data pipelines
- Drive engineering best practices and code reviews
- Ensure high availability data quality and performance
- Evaluate and adopt emerging data processing technologies
- Implement data governance, quality, and security standards
- Lead and mentor data engineering team
- Monitor and troubleshoot data workflows
- Optimize pipelines for cost efficiency and performance
- Oversee ingestion transformation and storage of large datasets
- Promote automation, CI/CD, and DevOps practices
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Airflow | Amazon Redshift | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | Bash | CI/CD | Cloud platform | Dagster | Data Governance | Data Modeling | DevOps | ELT | ETL | Google BigQuery | Google Cloud | Google Cloud Platform | Hive | Java | MapReduce | Microservices | Microsoft Azure | Python | REST API | SQL | Snowflake | Spring Boot
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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