Data Engineer

2 days ago

bangalore, India AMISEQ Full time

Title: Data Engineer (Neo4j, JanusGraph) Location: Bangalore Look for Exp. between 3-5 years - Must have graph databases (e.g., Neo4j, JanusGraph) and graph query languages - its must. Look for batch and real time streaming exp. Look with Kafka OR Flink Exp. Data structures/algorithms Hadoop ecosystems such as Hive, Iceberg, Spark SQL 1 coding language is must - (Java or Python or Scala) Job Description: The Cloud Data Technologies (CDT) team at eBay oversees data infrastructure and the management of the end-to-end data lifecycle. 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 and apply new Hadoop ecosystem tools and data technologies. Required Skills and Experience Extensive experience with Apache Kafka, Apache Flink, and other relevant streaming technologies. Proficiency in Hadoop ecosystems such as Hive, Iceberg, Spark sql. Good Understanding of Apache Airflow tool for orchestrating complex computational workflows and data processing pipelines. 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. Experience with graph databases (e.g., Neo4j, JanusGraph) and graph query languages. Ops & CI/CD: Monitoring (Prometheus/Grafana), logging, pipelines (Jenkins/GitHub Actions). Core Engineering: Data structures/algorithms, testing (JUnit/pytest), Git, clean code. Cloud Native: Docker, Kubernetes (deploy, network, scale, troubleshoot). 6+ years of directly applicable experience BS in Computer Science, Engineering, or equivalent experience.

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