Senior Data Engineer
4 weeks ago
We are seeking a highly skilled and experienced Senior Data Engineer to join our team.
Location : Bangalore (Work from Office all 5 days)
Experience : 6+ Years
Role : Senior Data Engineer
The ideal candidate will have a strong background in big data technologies and extensive hands-on experience with Cloudera, Spark, Hive, HDFS, Flink, Data Lake, and ClickHouse.
As a Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure to support our analytics and business intelligence
- Design, build, and maintain scalable data pipelines and ETL processes using Cloudera, Spark, Hive, HDFS, Flink, Data Lake, and ClickHouse.
- Work closely with data scientists, analysts, and other stakeholders to understand business requirements and translate them into technical solutions.
- Optimize and tune data processing workflows for performance and efficiency.
- Implement data governance and security best practices to ensure data integrity and compliance with regulatory requirements.
- Collaborate with cross-functional teams to integrate data from various sources and systems.
- Troubleshoot and debug data infrastructure issues and performance bottlenecks.
- Stay updated on emerging technologies and industry trends in big data and analytics.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience working as a Data Engineer or similar role.
- Proficiency in Cloudera, Spark, Hive, HDFS, Flink, Data Lake, and ClickHouse.
- Strong programming skills in languages such as Python, Scala.
- Experience with distributed computing frameworks and parallel processing.
- Solid understanding of data modeling, database design, and SQL.
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities.
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