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Lead Bigdata Engineer
2 weeks ago
We are looking for a Big Data Engineer with expertise in PySpark and Apache Iceberg to design and implement scalable data pipelines. The candidate will work on processing large datasets, optimizing data workflows, and ensuring data quality and reliability.
Key Responsibilities:
- Design, develop, and maintain big data pipelines using PySpark and Apache Iceberg.
- Optimize data workflows for performance and scalability.
- Implement data transformation, cleansing, and enrichment processes.
- Collaborate with data scientists and analysts to deliver actionable insights.
- Ensure data quality, consistency, and security across all pipelines.
- Monitor and troubleshoot data pipeline issues in production.
Required Skills:
- Programming Languages: Python, PySpark
- Data Lake Table Format: Apache Iceberg
- Data Orchestration: Apache Airflow
- Data Visualization: Tableau
- Big Data Processing: Apache Spark
- Databases: SQL (relational and NoSQL)
- Cloud Platforms: AWS, Azure, GCP (familiarity)
Qualifications:
- years of relevant experience in Apps Development or systems analysis role
- Extensive experience system analysis and in programming of software applications
- Experience in managing and implementing successful projects
- Subject Matter Expert (SME) in at least one area of Applications Development
- Ability to adjust priorities quickly as circumstances dictate
- Demonstrated leadership and project management skills
- Consistently demonstrates clear and concise written and verbal communication
Education:
- Bachelor's degree/University degree or equivalent experience
- Master's degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
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