
Chief Data Architect
4 days ago
Job Title: Data Engineering Lead
About the RoleWe are seeking an experienced Data Engineer to lead our data pipeline architecture and design. The ideal candidate will have a strong background in big data technologies, including Spark, Hadoop, and NoSQL databases.
The Data Engineer will be responsible for creating and maintaining optimal data pipelines, working with cross-functional teams to identify and implement process improvements, and building infrastructure for data extraction, transformation, and loading.
Key Responsibilities:
- Design and develop efficient data pipelines using Spark and other big data tools.
- Collaborate with data scientists to optimize data systems and improve functionality.
- Develop and maintain large-scale data storage solutions using NoSQL databases.
- Work with cloud services providers to optimize data processing and storage.
- Maintain high-performance data pipelines and troubleshoot issues.
Technical Requirements:
- Proficiency in Scala or Python programming languages.
- Strong expertise in Apache Spark and its ecosystem.
- Experience with performance tuning and optimization of big data applications.
- Familiarity with NoSQL databases, including Elasticsearch and Cassandra/Mongodb.
- Knowledge of cloud services providers, such as AWS/GCP.
This role offers a competitive salary, comprehensive benefits package, and opportunities for growth and professional development.
What We OfferWe provide a dynamic work environment that fosters collaboration, innovation, and continuous learning. Our team is passionate about delivering high-quality solutions that drive business success.
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