FIS

Financial Services

LeadDataEngineer(Snowflake,Python,DBT)

Chennai, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Lead Data Engineer (Snowflake, Python, DBT) at FIS. Skills: Snowflake, Python, DBT, Data Engineering. Design data pipelines. Implement data pipelines”

Industry & Context.

Financial Services
Problems you'll solve

Analytical; Prioritization; Problem solving skills; Attention to detail

What They're Looking For.

Must 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, Proficiency in python scripting, Proficiency in SQL, Hands-on experience on DBT (Data Build Tool), Hands-on experience on Airflow, Experience with ETL/ELT processes, analytical and problem-solving skills, Excellent communication skills

Nice to Have

Familiarity with cloud platforms like AWS, Azure, or Google Cloud Platform, Certifications in Snowflake, DBT, or Airflow, Experience in Data modeling, Experience with DataBricks, Experience with other reporting or analytical platforms, Banking Domain knowledge

What You'll Do.

Design data pipelines

Implement data pipelines

Develop ELT processes

Develop Python script

Optimize data pipelines

Implement data modeling best practices

Troubleshoot data pipelines

Document configurations

How You'll Work.

Team & Collaboration

Work jointly with other team members; Collaborate with stakeholders; Ability to collaborate effectively within a team

Communication Scope

Excellent communication skills

Full 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

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