Role Overview :

As a Senior Quantexa Specialist, you will be at the forefront of deploying advanced Decision Intelligence solutions to solve complex data challenges for global enterprises. You will work closely with cross-functional engineering teams, data architects, and client stakeholders to design, implement, and optimize large-scale data pipelines.

Your primary focus will be on leveraging the Quantexa platform to uncover hidden patterns and mitigate risks, directly impacting the operational efficiency and security posture of our clients. This role demands a blend of deep technical expertise and strategic thinking to translate intricate business requirements into robust, scalable data architectures that drive high-stakes decision-making.

Key Responsibilities :

- Architect and deploy end-to-end Quantexa solutions, ensuring seamless integration with existing enterprise data ecosystems to provide actionable intelligence for stakeholders.

- Develop high-performance data processing pipelines using Scala and Spark to handle massive datasets, ensuring data integrity and low-latency performance for end-users.

- Optimize search and retrieval capabilities by configuring ElasticSearch clusters, enabling clients to perform complex entity resolution and network analysis with speed and precision.

- Automate complex workflows and system maintenance tasks using advanced Unix shell scripting, reducing manual overhead and improving overall system reliability.

- Design and maintain complex database schemas and stored procedures using PL-SQL to support reporting requirements and ensure data consistency across the platform.

- Collaborate with global project teams to troubleshoot performance bottlenecks, providing technical leadership to ensure project delivery meets stringent quality and timeline benchmarks.

Required Skillset :

- Demonstrated expertise in the Quantexa ecosystem, with a proven track record of delivering complex entity resolution and network analytics projects.

- Advanced proficiency in Scala and Python for building scalable data pipelines, complemented by a deep understanding of distributed computing frameworks like Spark.

- Hands-on experience in managing and tuning ElasticSearch for large-scale indexing and querying, alongside strong database management skills in PL-SQL.

- Exceptional command over Unix/Linux environments, including shell scripting and system-level troubleshooting, essential for maintaining high-availability production systems.

- Strong interpersonal skills with the ability to articulate complex technical concepts to non-technical stakeholders, fostering collaborative relationships across diverse teams.

- A bachelor's or master's degree in Computer Science, Information Technology, or a related quantitative field, reflecting a strong foundation in algorithmic thinking.

- Proven ability to thrive in a hybrid work environment across our Hyderabad, Chennai, or Bangalore offices, maintaining high levels of productivity and team engagement while managing 5 - 15 years of professional experience.