Zeta Recruitment 2025 | Data Engineer

Karthik Ps
Published on October 13, 2025
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About Zeta Recruitment 2025

Founded in 2015, Zeta is a provider of next-gen credit card processing platform. Zeta’s cloud-native and fully API-enabled stack offers a comprehensive range of capabilities, including processing, issuing, lending, core banking, fraud detection, and loyalty programs. With a strong focus on technology, Zeta has over 1700+ employees and contractors, with more than 70% dedicated to technology roles. Operating across the US, Middle East, and Asia, Zeta has served a global customer base of 35+ clients who have issued over 15 million cards on Zeta’s platform to date. Backed by prominent investors such as Softbank Vision Fund 2 and Mastercard, Zeta has raised $280 million, at a valuation of $1.5 billion.

Zeta Recruitment 2025 Details

Company NameZeta
Job RoleData Engineer
Job TypeFull Time
Job LocationBengaluru
EducationBE/ B.Tech
Career Level1 – 3 Years
SalaryNot Mentioned
Company Websitewww.zeta.tech

Job Description For Zeta Recruitment 2025

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  • Database Design and Management: Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues.
  • ETL (Extract, Transform, Load) Processes: Develop and maintain ETL processes to move and transform data between systems. Ensure the efficiency and reliability of data pipelines.
  • Data Modeling: Create and update data models to represent the structure of the data.
  • Data Warehousing: Build and manage data warehouses for storage and analysis of large datasets.
  • Data Integration: Integrate data from various sources, including APIs, databases, and external data sets.
  • Data Quality and Governance: Implement and enforce data quality standards. Contribute to data governance processes and policies.
  • Scripting and Programming: Develop and automate data processes through programming languages (e.g., Python, Java, SQL). Implement data validation scripts and error-handling mechanisms.
  • Version Control: Use version control systems (e.g., Git) to manage codebase changes for data pipelines.
  • Monitoring and Optimization: Implement monitoring solutions to track the performance and health of data systems. Optimize data processes for efficiency and scalability.
  • Cloud Platforms: Work with cloud platforms (e.g., AWS, Azure, GCP) to deploy and manage data infrastructure. Utilize cloud-based services for data storage, processing, and analytics.
  • Security: Implement and adhere to data security best practices. Ensure compliance with data protection regulations..
  • Troubleshooting and Support: Provide support for data-related issues and participate in root cause analysis.

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Skills

  • Data Modeling and Architecture: Design and implement scalable and efficient data models, Develop and maintain conceptual, logical, and physical data models.
  • ETL Development: Create, optimize, and maintain ETL processes to efficiently move data across systems, Implement data transformations and cleansing processes to ensure data accuracy and integrity.
  • Data Warehouse Management: Contribute to the design and maintenance of data warehouses.
  • Data Integration: Work closely with cross-functional teams to integrate data from various sources and Implement solutions for real-time and batch data integration.
  • Data Quality and Governance: Establish and enforce data quality standards.
  • Performance Tuning: Monitor and optimize database performance for large-scale data sets, troubleshoot and resolve issues related to data processing and storage.

Experience and Qualification

  • Bachelor’s/master’s degree in engineering (computer science, information systems) with 1-3 years of experience in data engineering, BI engineering, and data warehouse development.
  • Excellent command of one or more programming languages, preferably Python or Java.
  • Excellent SQL skills.
  • Knowledge of Flink, Airflow.
  • Knowledge of DBT.
  • Experience working with Kubernetes.
  • Strong knowledge of architecture & internals of Apache Spark with multiple years of hand-on experience.
  • Experience working with distributed SQL engines like Athena / Presto.
  • Experience in building ETL Data Pipelines.
  • Ability to cut through the buzzwords and pick the right tools for building systems centered on core principles of reliability, scalability and maintainability.

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Zeta Recruitment 2025 Application Process

DOUBLE CLICK TO APPLY ONLINE !

We wish you the best of luck in your Zeta Recruitment 2025. May your talents shine, and may you find the perfect opportunity that not only meets your professional goals but also brings joy to your everyday work.

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