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Data Engineer II

Data Engineer II

Zeta Cards

3 - 5 years

0 Lacs

bengaluru karnataka india

Posted:3 days ago| Platform: Foundit logo

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Skills Required

airflow flink dbt athena

Work Mode

On-site

Job Type

Full Time

Job Description

Zeta is aNext-Gen Banking Techcompany that empowers banks and fintechs to launch banking products for the future. It was founded byand 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 over1700+employees - with over70%roles in R&D - across locations in theUS,EMEA, andAsia. We raised$280 millionat a$1.5 billionvaluation from Softbank, Mastercard, and other investors in 2021.

Learn more @,,,

About the Role

As a Data Engineer II, you will play a crucial role in developing, optimizing, and managing several large data lakes and data warehouses, comprising data from multiple disparate sources.

Responsibilities:

Data Pipeline Operations - Design, build, and maintain robust and scalable data pipelines to ingest, transform, and deliver structured and unstructured data from multiple sources. Ensure high-quality data by implementing monitoring, validation, and error-handling processes.

Platform Engineering & Optimization - Create and update data models to represent the structure of the data. Design, implement, and maintain database systems. Optimize database performance and ensure data integrity. Troubleshoot and resolve database issues. Build and manage data warehouses for storage and analysis of large datasets. Collaborate on data modeling, schema design, and performance optimization for large-scale datasets.

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.

Skills:

Expertise in data modeling, database design, and data warehousing. Proficient in SQL and programming languages such as Python, Java, or Scala.

Experience with big data technologies such as Hadoop, Spark, and Kafka.

Cloud-native architecture expertise (AWS, GCP, or Azure), including containerization (Docker, Kubernetes) and infrastructure-as-code (Terraform, CloudFormation).

Experience and Qualifications:

Bachelor's/Master's degree in engineering (computer science, information systems) with 3-5 years of experience in data engineering, BI engineering, and data warehouse development.

Excellent command on SQL and one or more programming languages, preferably Python or Java.

Knowledge of Flink, Airflow, Apache Spark, DBT, Athena / Presto

Experience working with Kubernetes.

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Data Engineer II