Data Engineer

2 weeks ago

New Delhi, 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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