Bangalore, Karnataka, India
Information Technology
Full-Time
AppSierra
Overview
Responsibilities
- Design, build, and maintain efficient and reliable data pipelines using Scala, Databricks, and Kafka.
- Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet their needs.
- Optimize ETL processes for performance and scalability, ensuring high data quality and integrity.
- Implement data streaming solutions to facilitate real-time data processing and analytics initiatives.
- Monitor and troubleshoot data pipelines, addressing performance issues and minimizing downtime.
- Participate in code reviews and ensure adherence to best practices in data engineering and software development.
- Stay up-to-date with emerging technologies and industry trends to continuously improve data engineering practices.
- Bachelor's degree in Computer Science, Engineering, or a related field; Master's degree preferred.
- 5-8 years of experience in data engineering or a related field with a focus on big data technologies.
- Strong proficiency in Scala and experience with functional programming paradigms.
- Hands-on experience with Databricks and Spark for data processing and analytics.
- Proficient in Kafka for building real-time data streaming applications.
- Solid understanding of data modeling, ETL processes, and data warehousing concepts.
- Experience with cloud-based data platforms, preferably AWS, Azure, or Google Cloud.
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