Are you curious, motivated, and forward-thinking? At FIS, you'll have the opportunity to support the coordination and delivery of meaningful projects that connect financial services with modern technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate, and above all, fun.

About the team

You will be part of Data lake team. Its a domain oriented , self-service enterprise Datawarehouse which ingests, transforms and stores the data from issuing platform to give the 360* view of the customer.

What you will be doing:

• Develop data-lake applications and automation using Python and Apache Spark.
• Design, develop, and maintain scalable data lake pipelines and transformation workflows.
• Build and optimize DBT models and Snowflake workloads, with attention to performance, data quality, and cost.
• Integrate data from cloud, relational, and mainframe systems, including files defined by COBOL copybooks.
• Support and modernize existing IBM DataStage workflows while enabling migration to cloud-based platforms.
• Apply software engineering practices such as version control, code reviews, automated testing, CI/CD, and technical documentation.
• Collaborate with product, analytics, architecture, and operations teams to translate requirements into dependable data solutions.
• Troubleshoot production issues and improve pipeline reliability, observability, and operational support.

What you bring :

• Significant professional software engineering or data engineering 1-5 years of experience.
• Proficiency in Python and experience building data-processing solutions with Apache Spark.
• Strong SQL skills, including query development, optimization, and data modelling.
• Good to have experience on DBT and Snowflake.
• Experience with AWS data services and cloud-based application or pipeline deployment.
• Familiarity of IBM DataStage and enterprise data integration patterns.
• Familiarity with mainframe data formats and the ability to interpret COBOL copybooks.
• Strong problem-solving, communication, and collaboration skills.
• Experience modernizing legacy data platforms or migrating workloads to the cloud.
• Knowledge of data warehousing, dimensional modelling, and data governance.
• Experience with orchestration, monitoring, and automated data-quality testing.
• Familiarity with Agile delivery and CI/CD practices.
• Good understanding of data lake concepts, ETL patterns, data modelling, distributed data processing.
• Experience developing and supporting production data pipelines.

What we offer you:

• An exciting opportunity be a part of World's Leading FinTech Product MNC
• A range of benefits designed to help support your lifestyle and wellbeing
• A multi-faceted job with a broad spectrum of responsibilities
• A modern international work environment and a dedicated and innovative team.

Privacy Statement

FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.

Sourcing Model

Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

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