Data Engineer

Job Description

To build reliable data integration solutions, clean, transform, and analyze vast amounts of big data from various systems using Spark and other ETL tools to provide ready-to-use datasets to data scientists and data analysts, while ensuring data quality and integrity. Collaborate with stakeholders to design scalable and efficient data solutions that enable informed decision-making, and compliance with data governance.

Requirements

• At least 3 years developing, deploying, and managing robust ETL/ELT data solutions, preferably in a reputable Financial Institution or FinTech company.

Responsibilities

• Develop and implement efficient data ingestion pipelines to acquire and extract large volumes of structured and unstructured data.
• Design and execute data processing workflows to clean, transform, and enrich raw data.
• Create and maintain data storage architectures that cater to the specific needs of big data applications.
• Identify and implement strategies to enhance the performance and efficiency of big data applications and systems.
• Establish and enforce data governance policies, standards, and best practices.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand their data requirements and provide technical support.

Skills

About Interswitch

Interswitch Limited is an integrated payment and transaction processing company that provides technology integration, advisory services, transaction processing and payment infrastructure to government, banks and corporate organizations.

Deadline: Not Specified

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