Data Engineer
6 hours ago
Role Name: Data Engineer
Experience : 3+ Years
Location : Bangalore(No relocation)
Notice Period : 20-30 days(who are currently serving)
Mode : Hybrid
Type : Fulltime
Job Description:
As a Data Engineer on our team, you will work on our Hadoop-based data warehouse, contributing to scalable and reliable big data solutions for analytics and business insights. This is a hands-on role focused on building, optimizing, and maintaining large data pipelines and warehouse infrastructure.
Key Responsibilities
- Design, develop, and maintain robust data pipelines in Hadoop and related ecosystems, ensuring data reliability, scalability, and performance.
- Implement data ETL processes for batch and streaming analytics requirements.
- Optimize and troubleshoot distributed systems for ingestion, storage, and processing.
- Collaborate with data engineers, analysts, and platform engineers to align solutions with business needs.
- Ensure data security, integrity, and compliance throughout the infrastructure.
- Maintain documentation and contribute to architecture reviews.
- Participate in incident response and operational excellence initiatives for the data warehouse.
- Continuously learn mindset and apply new Hadoop ecosystem tools and data technologies.
Required Skills and Experience
- Proficiency in Hadoop ecosystems such as Spark, HDFS, Hive, Iceberg, Spark SQL.
- Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies.
- Proven ability to design and implement automated data pipelines and materialized views.
- Proficiency in Python, Unix or similar languages.
- Good understanding of SQL oracle, SQL server or similar languages.
- Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions).
- Core Engineering: Data structures/algorithms, testing (JUnit/pytest), Git, clean code.
- 5+ years of directly applicable experience
- BS in Computer Science, Engineering, or equivalent experience.
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