Neo4j Data Engineer

Symphoni HR • Bachelor's Degree • Python • ETL/ELT • 2 days ago
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Salary
≈ $21k – $43k per year (Estimated)
Location
In office (India)
Seniority
Staff · 8+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 17, 2026. First seen by Alion on Oct 15, 2026. Symphoni HR scores A on the Alion truth index.

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Symphoni HR

Symphoni HR is an executive search and specialist recruitment firm headquartered in Malad West, Mumbai, handling board, CEO and CXO appointments alongside technology hiring, recruitment process outsourcing, project hiring and fractional leadership services. Established in 2003, it reports more than 100,000 candidates hired and over 5,000 C-suite and senior mandates for 300+ clients across practices such as global capability centres, financial services, technology, industrial and healthcare. The roles on its board are client vacancies, mostly in Mumbai, Bengaluru and Pune, for Java and C++ developers, data engineers, DevOps and GenAI engineers, business analysts and project managers.
symphonihr.com • HQ: Mumbai, India • Recruiting & Staffing • Executive Search • 201-500 employees • Est. 2003

We are looking for a highly skilled Data Engineer to join our team in a hybrid capacity. You will be responsible for architecting and maintaining robust data engineering solutions, with a specific focus on leveraging Neo4j and the Hadoop ecosystem to drive enterprise-scale graph database initiatives.

Our client is a prominent global leader in the computer software industry, known for delivering innovative data-driven solutions. They foster a collaborative and high-performance culture that empowers engineers to solve complex technical challenges at scale. With a commitment to excellence, they provide a dynamic environment for professionals to grow their expertise in cutting-edge technologies.

Responsibilities

  • Design, develop, and maintain scalable data engineering solutions within the Hadoop ecosystem.
  • Develop and optimize Neo4j graph database solutions, focusing on high-performance data ingestion and retrieval.
  • Author and refine complex Cypher queries to ensure efficient data analysis and processing.
  • Build and manage end-to-end data pipelines, utilizing PySpark Parallel Loader for seamless Neo4j integration.
  • Monitor, troubleshoot, and optimize performance for both data processing jobs and graph database workloads.
  • Collaborate with architects, data scientists, and stakeholders to translate business requirements into technical solutions.
  • Uphold rigorous standards for data quality, governance, security, and technical documentation.
  • Participate in peer code reviews and contribute to the establishment of engineering best practices.

Requirements

  • 8-11 years of professional experience in Data Engineering.
  • 3-5 years of hands-on experience with Neo4j Graph Database, including advanced Cypher query optimization.
  • Strong practical experience with PySpark and Hadoop clusters.
  • Proven ability to load and manage data in Neo4j using PySpark Parallel Loader.
  • Deep understanding of data modeling, ETL/ELT workflows, and distributed computing principles.
  • Demonstrated success in troubleshooting performance bottlenecks within complex data pipelines.
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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