Data Analytics Engineer (mfd) Finance Analytics

Bangalore - India

Monthly Salary: Not Disclosed

Posted on: 6 hours ago

Vacancies: 1 Vacancy

Job Summary

Data Modeling & Transformation

Develop test and deploy robust data models and transformations using modern tools (e.g. dbt) to create the core datasets for analytics.

Software Engineering for Data

Champion and implement software engineering best practicesincluding version control (Git) code reviews testing and CI/CDwithin the analytics codebase.

Testing & Data Quality

Build and automate comprehensive testing frameworks to ensure the accuracy consistency and freshness of all data models. You are the guardian of data quality.

Documentation & Discoverability

Create and maintain clear documentation for data models metrics and business logic making data easily discoverable and understandable for all users.

Collaboration & Enablement

Partner closely with Data Engineers to understand source data structures and with Data Analysts to understand their requirements enabling them to work more efficiently and with greater confidence.

Performance Optimization

Optimize the performance of data models and queries to ensure that dashboards and reports are fast and responsive.

Qualifications :

Educational qualification:

MBA Finance or Bachelor / Masters Degree in any IT Field (with Data Analytics focus)

Experience

Several years of professional experience in a similar role (Data Engineer BI Specialist Data Scientist) with a clear focus on the financial sector.

Mandatory/requires Skills :
Core Technical Skills

Expert-level SQL is non-negotiable. Proven hands-on experience with a modern data transformation tool with dbt being strongly preferred.

Software Engineering Mindset

A strong belief in and practical experience with applying software engineering principles (version control with Git testing CI/CD code modularity) to data work.

Professional Experience

Experience in a role focused on data transformation such as Analytics Engineering BI Development or Data Engineering with an emphasis on the transformation layer.

Platform Knowledge

Hands-on experience working with modern cloud data platforms (e.g. Databricks Snowflake BigQuery) and BI tools (e.g. Tableau Power BI).

Business Acumen

The ability to understand complex business logic (especially in finance) and translate it into clean logical and reusable data models.

Problem-Solving

A methodical and detail-oriented problem-solver who is passionate about building reliable high-quality systems.

Fluent in English (written and spoken).

Remote Work :

Employment Type :

Full-time

Data Modeling & TransformationDevelop test and deploy robust data models and transformations using modern tools (e.g. dbt) to create the core datasets for analytics. Software Engineering for DataChampion and implement software engineering best practicesincluding version control (Git) code reviews te...