Data Engineer Specialist
7 hours ago
Data Engineer Role Overview
We are seeking a highly skilled Data Engineer to support the growth and development of our data infrastructure at ANLAGE. The ideal candidate will have a strong background in Scala programming, distributed data processing frameworks, and a deep understanding of data architecture and pipelines.
Key Responsibilities
- Design, develop, and maintain efficient, reliable, and scalable data pipelines using Scala and distributed frameworks like Apache Spark or Kafka.
- Integrate data from various sources into data lakes or data warehouses, ensuring high data quality and performance.
- Optimize existing processes and code for performance, scalability, and reliability, especially in distributed environments.
- Help define and implement data architecture that supports business analytics, machine learning, and reporting needs.
- Collaborate closely with data scientists, analysts, and other engineers to translate data requirements into technical solutions.
- Build tools and processes for monitoring, alerting, and ensuring the reliability of the data infrastructure.
- Write unit, integration, and end-to-end tests for data pipelines and ensure data integrity across systems.
- Provide clear, concise documentation for both technical and non-technical stakeholders.
Requirements
- Experience: 7+ years of experience in data engineering, with a focus on Scala and big data technologies.
- Programming Languages: Proficient in Scala; experience with Java, Python, or other JVM-based languages is a plus.
- Big Data Frameworks: Hands-on experience with Apache Spark, Kafka, Hadoop, or similar frameworks.
- Data Storage Systems: Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Cassandra, HBase).
- Data Warehousing: Familiarity with data warehousing solutions like Amazon Redshift, Google BigQuery, or similar.
- Cloud Platforms: Experience with cloud-based data platforms (AWS, Azure, GCP).
- Data Processing: Strong understanding of distributed data processing, batch, and streaming data processing techniques.
- Version Control: Proficiency in using version control systems like Git.
- Problem-Solving Skills: Strong analytical and problem-solving skills with a focus on continuous improvement.
- Communication: Excellent communication and teamwork skills, with the ability to translate technical issues into business context.
Preferred Qualifications
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