Senior Data Engineer - Neo4j (8-12 yrs)

Role : Data Engineer- (Neo4j).

Location : Bengaluru, India.

Experience : 8+ Years.

Notice Period : Immediate to 90 days.

Job Description :

As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing.

This role involves creating scalable and efficient data pipelines, ensuring data quality, and implementing ETL (Extract, Transform, and Load) processes to migrate and deploy data across systems.

The ideal candidate will possess deep expertise in Neo4j and data engineering best practices, contributing to the organization's data infrastructure optimization and cross-functional collaborations.

Key Responsibilities :

- Act as an SME (Subject Matter Expert) in Neo4j, collaborating with and managing the team.

- Take responsibility for team decisions and contribute to key organizational decisions.

- Design and develop scalable, efficient, and robust data pipelines.

- Implement ETL processes for seamless data migration and integration.

- Ensure data quality and integrity throughout the data lifecycle.

- Optimize and maintain data infrastructure to meet evolving data needs.

- Collaborate with cross-functional teams to gather requirements and deliver data-driven solutions.

- Stay updated with emerging technologies and best practices in data engineering.

Requirements :

- Expertise in Neo4j with a minimum of 7.5 years of experience.

- Strong understanding of data engineering concepts and principles.

- Proven experience in designing and developing data pipelines.

- Proficiency in ETL processes and data migration techniques.

- In-depth knowledge of data modeling and database design.

- Proficiency in SQL and other query languages.

- Experience with Apache Kafka and Apache Spark.

- Familiarity with cloud platforms such as AWS or Azure.

- Understanding of data quality and integrity best practices.