Job Description

Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and 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

In today’s highly competitive private equity market, firms must not only deliver superior returns, but also respond to more stringent reporting requirements and increasing demands for information – both from within and outside their organization. Throughout the industry there is mounting pressure on organizations to do more, requiring a clear technology strategy that not only addresses the demands of today, but also enables the growth and performance of tomorrow.

What you will be doing:

• Work jointly with other team members to meet deliverables under tight deadlines.

• Very good analytical, prioritization and problem solving skills

• Ability to learn quickly and adapt to new situations, directives, and priorities

• Good interpersonal skills.

What you bring:

• Having 6- 10 years’ experience in Data warehouse/ETL/ELT/CLOUD projects.
• Design and implement data pipelines using Snowflake/DBT, ensuring scalability, reliability, and performance.
• Develop ELT processes to extract, Load and transform data from various sources into Snowflake.
• Develop Python script to processes/Load/transform data from various sources into Snowflake.
• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
• Utilize DBT (Data Build Tool) and Airflow for orchestration, scheduling, and monitoring of data workflows.
• Optimize and tune existing data pipelines for improved efficiency and performance.
• Implement best practices for data modeling, ensuring data consistency and accuracy within Snowflake.
• Troubleshoot issues related to data pipelines, identifying and resolving bottlenecks or discrepancies.
• Stay updated with the latest advancements in Snowflake, DBT, Airflow, and other relevant technologies.
• Document processes, workflows, and configurations for reference and future improvements.

Must to have:

• Bachelor’s degree in computer science, Information Technology, or related field.
• Proven experience (3+ years) working as a Data Engineer or similar role.
• Proficiency in Snowflake, including designing data warehouses and optimizing queries.
• Proficiency in python scripting and handle the job flows.
• Proficiency in SQL and scripting languages for data manipulation and automation.
• Hands-on experience on DBT (Data Build Tool) and Airflow for data orchestration and workflow management.
• Experience with ETL/ELT processes and building scalable data pipelines.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills and ability to collaborate effectively within a team.

Good to have:

• Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform.
• Certifications in Snowflake, DBT, or Airflow will be a plus.
• Experience in Data modeling, DataBricks, other reporting or analytical platforms,etc.
• Banking Domain knowledge will give added advantage.

Education Requirements: Bachelor’s degree or the equivalent combination of education, training, or work experience.

What we offer you

• A range of benefits designed to help support your lifestyle and wellbeing

• A multi-faceted job with a broad spectrum of responsibilities

• An international work environment and a dedicated and innovative team

• An extensive range of personal development opportunities

• A work environment built on collaboration, flexibility and respect

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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