Principal Data Engineer - Snowflake and DBT

svb

Bengaluru

Hybrid

INR 4,000,000 - 7,000,000

Full time

4 days ago
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Job summary

FC Global Services India LLP (First Citizens India) seeks a Principal Data Engineer in Bengaluru to design, build, and maintain enterprise data platforms. You will lead data warehouse, data lake, and data mart initiatives while ensuring data governance, security, and privacy.

Collaborate with global teams and senior stakeholders to deliver scalable data solutions. You will apply deep expertise in Snowflake, AWS cloud services, and traditional RDBMS to create robust data pipelines, empower

Qualifications

  • 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.

Responsibilities

  • Build and maintain large scale data platforms (Data Warehouse/ODS/Data Marts) with secure data access and governance
  • Lead design reviews and coordinate release management activities
  • Collaborate with Data Architects & Modelers to enhance platform design and reduce tech debt
  • Drive automation and optimize data flows across global teams
  • Work with time zones (primarily US) to deliver timely business value

Skills

Business/Domain Knowledge
Partnership & Collaboration
Communication
Problem Solving
Team Player
Attention to Detail

Tools

Snowflake
AWS (S3, Lambda, Glue)
Data Warehousing (Oracle, Netezza, Teradata, SQL Server)
Data Engineering Frameworks
ML (SageMaker, DataRobot)
Data Integration

Job description

FC Global Services India LLP (First Citizens India), a part of First Citizens BancShares, Inc., a top 20 U.S. financial institution, is a global capability center (GCC) based in Bengaluru. Our India-based teams benefit from the company's over 125-year legacy of strength and stability. First Citizens India is responsible for delivering value and managing risks for our lines of business. We are particularly proud of our strong, relationship-driven culture and our long‑term approach, which are deeply ingrained in our talented workforce. This is evident across all key areas of our operations, including Technology, Enterprise Operations, Finance, Cybersecurity, Risk Management, and Credit Administration. We are seeking talented individuals to join us in our mission of providing solutions fit for our clients' greatest ambitions.

Job Description
Value Proposition
  • 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
Job Details

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.
Skills and Qualification
Functional Skills
  • 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.
Technical/Business Skills
  • Data Engineering: 15+ years of experience in designing and building Data Warehouse and Data lakes. Extensive knowledge of data warehouse principles, design, and concepts.
  • Strong knowledge of Snowflake data platform and solutions for enterprise level implementation, and migration from legacy or on-prem systems.
  • Technical expertise of AWS cloud related services such as S3, Lamda, Glue, Step Function, CloudWatch, etc.
  • 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.
  • Good to have machine learning capabilities such as Sagemaker, DataRobot.
  • Data integration skills: Expertise in creati
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