Senior Data Architect
2 days ago
About Us:
Pixomania is a forward-thinking technology company that delivers innovative solutions in Big Data analytics. We are committed to building cutting-edge data solutions and seek a talented Senior Data Architect with expertise in Scala and Apache Spark.
Job Description:
We are looking for an experienced Senior Data Architect with a deep understanding of Scala and Apache Spark to design, develop, and optimize large-scale data processing systems. The ideal candidate will have strong expertise in handling massive datasets, working in distributed computing environments, and developing efficient high-performance applications.
Responsibilities:
- Design, develop, and optimize large-scale data processing systems using Apache Spark and Scala.
- Work with massive datasets ensuring high throughput and low-latency data processing.
- Build and maintain scalable, distributed systems in cloud-based environments.
- Develop data integration solutions and ensure the efficient movement of data across systems.
- Collaborate with data engineers, data scientists, and other cross-functional teams to identify and implement business solutions.
- Write clean, efficient, and maintainable code following industry best practices and coding standards.
- Troubleshoot and optimize Spark jobs ensuring minimal downtime.
- Design and implement data pipelines for ETL tasks.
- Perform code reviews and mentor junior developers to ensure high standards are maintained.
Requirements:
- 5+ years of experience as a Big Data Developer with a focus on Scala and Apache Spark.
- Strong understanding of distributed systems and parallel processing.
- Proven experience in building and optimizing large-scale, high-performance data processing pipelines.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
- Knowledge of big data tools like Hadoop, Hive, Kafka, and HBase.
- Solid understanding of SQL and experience with NoSQL databases.
- Ability to write efficient, maintainable, and scalable code in Scala and Spark.
- Experience with data warehousing, ETL, and real-time streaming applications.
- Strong problem-solving skills and ability to troubleshoot complex data-related issues.
Salary: $120,000 - $180,000 per annum
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