Zeta is hiring for the position of Data Engineer I in Bangalore, India. Candidates with a Bachelor’s/ Master’s Degree are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | Zeta |
| Position | Data Engineer I |
| Qualifications | Bachelor’s/ Master’s Degree |
| Experience | 1 – 3 (Years) |
| Location | Bangalore, India |
Key Responsibilities:
- Database Design and Management: Design, implement, and maintain robust database systems while ensuring optimal performance, data integrity, and timely resolution of database issues.
- ETL (Extract, Transform, Load) Processes: Develop, manage, and optimize ETL workflows to efficiently move and transform data between systems, ensuring the reliability of data pipelines.
- Data Modeling: Design and update logical and physical data models to accurately represent and organize data structures.
- Data Warehousing: Build and maintain scalable data warehouses to support the storage, retrieval, and analysis of large datasets.
- Data Integration: Integrate data from diverse sources, including APIs, internal databases, and external datasets, to enable unified data access and reporting.
- Data Quality and Governance: Implement data quality checks, enforce data governance standards, and contribute to the development of governance policies and best practices.
- Scripting and Programming: Automate and streamline data processes using programming languages such as Python, Java, and SQL, including the development of validation scripts and error-handling mechanisms.
- Version Control: Utilize version control systems like Git to manage and track changes in the data pipeline codebase effectively.
- Monitoring and Optimization: Establish monitoring frameworks to assess system performance and health, and optimize data processes for scalability, speed, and efficiency.
- Cloud Platforms: Deploy, manage, and optimize data infrastructure on cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP), leveraging cloud-based tools for data storage, processing, and analytics.
- Security: Implement and maintain data security measures in compliance with organizational and regulatory standards, ensuring the protection of sensitive information.
- Troubleshooting and Support: Provide technical support for data-related issues, conduct root cause analyses, and implement preventive measures to ensure system reliability.
Eligibility Criteria:
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related engineering field, with 1–3 years of experience in data engineering, BI engineering, or data warehouse development.
- Proficient in one or more programming languages, preferably Python or Java.
- Strong expertise in writing complex SQL queries for data extraction and manipulation.
- Familiarity with data workflow and orchestration tools such as Apache Flink and Airflow.
- Working knowledge of DBT for data transformation and pipeline development.
- Experience with container orchestration using Kubernetes.
- In-depth understanding of Apache Spark architecture and internals, with hands-on experience in large-scale data processing.
- Experience working with distributed SQL engines such as Amazon Athena or Presto.
- Proven experience in building and managing ETL data pipelines.
- Ability to evaluate and select appropriate technologies based on principles of reliability, scalability, and maintainability, avoiding unnecessary complexity or buzzwords.
Skills:
- Data Modeling and Architecture: Design and implement scalable and efficient data models; develop and maintain conceptual, logical, and physical data architectures.
- ETL Development: Build, optimize, and maintain ETL pipelines to enable efficient data movement across systems; implement data transformation and cleansing processes to ensure accuracy and integrity.
- Data Warehouse Management: Contribute to the design, development, and maintenance of data warehouses to support analytical and reporting needs.
- Data Integration: Collaborate with cross-functional teams to integrate data from multiple sources; design and implement both real-time and batch data integration solutions.
- Data Quality and Governance: Establish, monitor, and enforce data quality standards in alignment with governance policies and best practices.
- Performance Tuning: Monitor and optimize database performance for large-scale datasets; identify, troubleshoot, and resolve issues related to data processing, storage, and scalability.
About Company:
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.
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