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Zeta

Manager / Lead Data Reliability Engineering

Job Posted 8 Days Ago Reposted 8 Days Ago
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Hyderabad, Telangana
Senior level
Hyderabad, Telangana
Senior level
The Lead Data Reliability Engineer will design, deploy, and manage cloud-based data systems, ensuring reliability, scalability, and mentorship of junior members.
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About Zeta:

Zeta is a Next-Gen Banking Tech company that empowers banks and fintechs to launch banking products for the future. It was founded by Bhavin Turakhia and Ramki Gaddipati in 2015.


Our flagship processing platform - Zeta Tachyon - is the industry’s first modern, cloud-native, and fully API-enabled stack that brings together issuance, processing, lending, core banking, fraud & risk, and many more capabilities as a single-vendor stack. 20M+ cards have been issued on our platform globally.


Zeta is actively working with the largest Banks and Fintechs in multiple global markets transforming customer experience for multi-million card portfolios.


Zeta has over 1700+ employees - with over 70% roles in R&D - across locations in the US, EMEA, and Asia. We raised $280 million at a $1.5 billion valuation from Softbank, Mastercard, and other investors in 2021.

Learn more @ www.zeta.tech, careers.zeta.tech, Linkedin, Twitter


About the Role:

As a Lead Data Reliability Engineer, you will be accountable for designing, deploying, and managing our complex cloud-based data systems. You will lead efforts to ensure the reliability, scalability, and security of our data infrastructure, while mentoring and guiding junior team members.

Responsibilities:

  • Leverage deep expertise in database management and optimization to ensure high performance and reliability of our data systems.
  • Identify bottlenecks and performance issues within data pipelines, optimize query performance, data access, and overall data processing.
  • Design, deploy, and manage complex data systems in cloud environments (e.g., AWS, Azure, GCP) using tools such as Terraform and adhering to AWS well architected Framework.
  • Develop and implement complex automation solutions using tools such as Jenkins and scripts to streamline data operations and enhance efficiency.
  • Architect and manage enterprise HA and DR solutions to ensure business continuity and data availability.
  • Expertly analyze and optimize database performance, identifying and resolving bottlenecks.
  • Ensure adherence to cloud security best practices and compliance standards, protecting sensitive data and systems.
  • Manage complex incidents, troubleshoot issues, and implement effective solutions to maintain data integrity and system reliability.
  • Demonstrate leadership skills, mentor junior team members, and foster a collaborative and communicative team environment.

Skills

  • Leadership: Proven leadership skills with the ability to inspire and motivate a team.
  • Project Management: Proven experience in managing complex database projects.
  • Database Management Systems: Expertise in one or more relational database management systems.
  • Security and Compliance: In-depth knowledge of database security principles and compliance requirements.
  • Performance Tuning: Advanced skills in monitoring and optimizing database performance.
  • Team Collaboration: Effective collaboration with cross-functional teams and departments.
  • Vendor Management: Experience in engaging with database technology vendors.
  • Problem-Solving: Strong problem-solving skills, especially in resolving complex database issues.
  • Communication: Excellent communication skills for conveying technical information to both technical and non-technical stakeholders.
  • Strategic Planning: Ability to contribute to the development of the organization's overall database strategy.

Experience and Qualifications

  • Bachelor’s degree in Computer Science or equivalent with 8 - 11 years of hands-on experience in database management and optimization on various relational databases with PostgreSQL as primary skillset.
  • Experience in Cloud Databases administration - Configuration, Backup/Restore, replication which are in the order of 10s of TB in size. 
  • Expertise in identifying and resolving performance issues within data pipelines.
  • Experience in developing and implementing complex automation solutions using tools like Jenkins, Terraform & Python.
  • Experience in architecting and managing high availability and disaster recovery solutions of Databases in the cloud across regions.
  • Expert in performance monitoring and optimization of database systems.
  • In-depth knowledge of cloud security best practices and compliance standards.
  • Extensive experience in managing complex incidents and troubleshooting.
  • Should be able to solve problems, make sound decisions and use good judgment. 
  • Leadership skills with the ability to mentor and guide junior team members.
  • Experience with modern data processing tools and frameworks (e.g., Apache Kafka, Apache Spark, Airflow, Debezium etc.) is a plus.

Life At Zeta


At Zeta, we want you to grow to be the best version of yourself by unlocking the great potential that lies within you. This is why our core philosophy is ‘People Must Grow.’ We recognize your aspirations; act as enablers by bringing you the right opportunities, and let you grow as you chase disruptive goals. 



#LifeAtZeta is adventurous and exhilarating at the same time. You get to work with some of the best minds in the industry and experience a culture that values the diversity of thoughts. If you want to push boundaries, learn continuously and grow to be the best version of yourself,  Zeta is the place to be!  Explore the life at zeta 


Zeta is an equal opportunity employer.  


At Zeta, we are committed to equal employment opportunities regardless of job history, disability, gender identity, religion, race, marital/parental status, or another special status. We are proud to be an equitable workplace that welcomes individuals from all walks of life if they fit the roles and responsibilities.

Top Skills

Airflow
Apache Kafka
Spark
AWS
Azure
GCP
Jenkins
Postgres
Python
Terraform

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