Senior Finance Data Engineer

Job Description

As a Senior Finance Data Engineer, you will play a pivotal role in scaling our finance data team in Noida. You will leverage technologies likeMicrosoft Fabric,Power BI,Power Apps,Power Automate,DAX,Power Query, and advanceddata modelingto deliver high-performance data pipelines and solutions for finance and revenue stream analysis. Your work will directly support business-critical financial decision-making, working closely with senior stakeholders and leadership in Finance and Revenue teams globally. Effective communication is essential, as you will be interacting with teams overseas, managing complex requirements, and providing strategic data insights.

Your duties and responsibilities

Data Engineering Architecture:

- Set up, configure, and maintain data engineering infrastructure leveraging Microsoft Fabric for data integration and management.
- Design, build, maintain and optimize scalable data pipelines and data models to support BI and analytics initiatives for finance and revenue streams. Collaborate with other engineers to ensure that data architectures support high-performance reporting and data-driven decision-making.

Business Intelligence Reporting:

- Develop and maintain Power BI reports, dashboards, and visualizations tailored to financial analysis, performance tracking, and revenue management. Use Power Query, DAX, and Power BI data models to provide actionable insights to stakeholders in Finance and Revenue departments.

Process Automation Optimization:

- Leverage Power Automate and Power Apps to automate business processes, streamline workflows, and improve operational efficiency. Integrate process automation solutions with core data systems to enhance data accuracy and reduce manual effort.

Collaboration with Stakeholders:

- Work directly with internal leadership and finance teams located overseas, gathering requirements, designing solutions, and translating business needs into technical specifications. Ensure that data solutions align with business goals, regulatory standards, and industry best practices.

Data Governance Quality Assurance:

- Ensure high data quality and integrity throughout the engineering lifecycle.
- Apply data governance principles to manage data access, privacy, and security, especially in financial contexts. Conduct quality checks to guarantee the accuracy and reliability of financial data.

Team Development Leadership:

- As part of the finance data team, you will help mentor and train junior engineers and foster a collaborative and innovative environment. Contribute to building a strong team culture and sharing knowledge within the team to drive technical excellence.

Continuous Improvement:

- Stay up-to-date with the latest trends and advancements in data engineering, cloud technologies, and finance. Identify opportunities for performance improvements and make recommendations for optimizing data infrastructure and business intelligence tools.

Your skills, experience, and qualifications

Experience:

- Minimum of 5 years of hands-on experience in data engineering, with a focus onMicrosoft Fabric,Power BI,Power Apps,Power Automate,DAX, andPower Query.
- Proven experience working with data solutions in thefinanceindustry, ideally supporting revenue stream analysis, financial reporting, or risk management.

Technical Skills:

- Advanced experience in building and optimizingdata modelsfor large-scale reporting systems, using tools likePower BIandMicrosoft Fabric.
- Expertise inPower QueryandDAXfor data transformation and analysis.
- Strong proficiency inPower AppsandPower Automatefor automating business processes and integrating systems. Hands-on experience with cloud-based data engineering technologies and platforms (e.g., Microsoft Azure, data lakes, and data warehouses). Familiarity withETL processes, data pipeline orchestration, and large data sets.

Communication Skills:

- Excellent communication skills, with the ability to interact effectively with senior leadership, stakeholders, and cross-functional teams across different geographic locations. Ability to translate complex technical concepts into clear and actionable insights for non-technical audiences. Strong collaboration and interpersonal skills, particularly in working with overseas teams in different time zones.

Soft Skills:

- Strong problem-solving and critical thinking abilities. Self-motivated, detail-oriented, and able to work independently in a fast-paced environment. Ability to prioritize tasks and manage multiple competing demands effectively.

Preferred Qualifications:

- Experience in implementing data engineering solutions withinfinance,capital markets, orfintechindustries.
- Knowledge of data security standards and regulatory compliance within financial services.
- Familiarity with other tools in the Microsoft Power Platform (Copilot, Power BI Service, etc.).
- Previous experience inteam building, mentoring, or leading junior engineers.

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