Principal Data Engineer - ETL & Snowflake

Overview

• Responsible for developing and maintaining large scale data platforms: building data pipelines to share enterprise data, designing and building cloud solutions with appropriate data access, data security, data privacy and data governance
• Demonstrate deep technical knowledge and expertise in software development, data engineering frameworks and best practices. Use agile engineering practices and various data development technologies to rapidly develop creative and efficient data products
  
  

Position Title: Principal Data Engineer

Career Level: P4

Job Category: Assistant Vice President

Role Type: Hybrid

Job Location: Bangalore

About The Team

The data engineering team is community of dedicated professionals committed to designing, building, and maintaining data platform solutions for the organization.

Impact

Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360. This role is vital for building and maintaining enterprise data platform, data processes, and to support business objectives. Our values — inclusivity, transparency, and excellence — drive everything we do. Join us and make a meaningful impact on the organization.

Key Deliverables

• As a Principal Data Engineer, you will be responsible for building and maintaining large scale data platforms: enriching data pipelines to share enterprise data, designing, building, and maintaining a data platform such as Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance.
• Demonstrate technical knowledge and leadership in software development, data engineering frameworks and best practices.
• Collaborate with the Data Architects, Solution Architects & Data Modelers to enhance the Data platform design, constantly identify a backlog of tech debts in line with identified upgrades and provide technical solutions & implement the same.
• Participates on the Change Advisory Board (CAB) and ensures effective change control is implemented for all infrastructure and/or application installations, rollbacks, and updates.
• Collaborate with IT and CSO teams to ensure compliance with data governance, privacy and security policies and regulations.
• Manage deliverables of developers, perform design reviews and coordinate release management activities.
• Drive automation, identify inefficiencies, optimize processes and data flows, and recommend improvements.
• Use agile engineering practices and various data development technologies to rapidly develop and implement efficient data products.
• Work with global technology teams across different time zones (primarily US) to deliver timely business value.
  
  

• Business/Domain Knowledge: Good understanding of application systems and business domains
• Partnership and Collaboration: Develop and maintain partnership with business and IT stakeholders
• Communication: Excellent verbal, written, and interpersonal communication skills.
• Problem Solving: Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality.
• Team Player: Support peers, team, and department management.
• Attention to Detail: Ensure accuracy and thoroughness in all tasks.
  
  

• Data Engineering:
• 15+ years of experience in designing and building Data Warehouse and Data lakes. Extensive knowledge of data warehouse principles, design, and concepts.
• Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server.
• Deep technical knowledge in data engineering frameworks and best practices.
• Experience with public cloud-based data platforms especially Snowflake, AWS, and machine learning capabilities such as Sagemaker, DataRobot.
• Data integration skills:
• Expertise in creating and maintaining ETL processes and architecting complex data pipelines - knowledge of data modeling techniques and high-volume ETL/ELT design.
• Solutions using any industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage.
• Experience with Unix, Python or equivalent scripting language
• Experience of Transform/ELT tools such as DBT, Qlik Replicate, AWS Glue or Snowpark, etc.
• Data Model: Expert knowledge of Logical and Physical Data Model using Relational, Dimensional or Data Vault Modeling practices with high-volume ETL/ELT design.
• Expert in SQL, stored procedures and adept in tracing and resolving data integrity issues.
• Knowledge of Data Visualization using Power BI or Tableau
• Performance tuning of data pipelines and DB Objects to deliver optimal performance.
• Excellent data analysis skills using SQL and experience in incident management techniques.
• Data protection/compliance standards like GDPR, CCPA, HIPAA
• Experience working in Financial Industry is a plus
  

• Communication: Clearly conveys ideas and listens actively.
• Inspiration: Motivates and encourages the team to achieve their best.
• Influence: Extensive stakeholder management experience and ability to influence people
• Driving strategic and technical initiatives
  
  

• Reports to: Associate Director - Data Engineering
• Partners: Senior leaders and cross-functional teams
• Leads: A team of Data Engineering associates
  
  

We are committed to providing an inclusive and accessible hiring process. If you require accommodations at any stage (e.g. application, interviews, onboarding) please let us know, and we will work with you to ensure a seamless experience.

Equal Employment Opportunity

FC Global Services India LLP (First Citizens India) is an Equal Employment Opportunity Employer. We are committed to fostering an inclusive and accessible environment and prohibit all forms of discrimination on the basis of gender, religion, caste, disability, sexual orientation, economic status or any other characteristics protected by the law. We strive to foster a safe and respectful environment in which all individuals are treated with respect and dignity. Our EEO policy ensures fairness throughout the employee life cycle.