Data Engineer

2 days ago

Bengaluru, Karnataka, India Amiseq Full time ₹ 8,00,000 - ₹ 18,00,000 per year

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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