Python Fullstack Developer

Atyeti; Mumbai; Hybrid; INR 1,200,000 - 2,400,000; Full time

Job summary

Atyeti in Mumbai is seeking a senior data analytics professional to leverage SQL, Python/PySpark, and BI tools across financial services datasets. You will translate complex data into actionable insights and support reporting and analytics initiatives.

The role emphasizes data governance, metadata management, and the ability to work in a fast-paced environment while handling multiple priorities.

Qualifications

• 5-8 years of analytics, data, or quantitative experience in financial services.
• Strong SQL skills with large datasets.
• Proficient in Python / PySpark or willing to learn.
• Experience in data modelling for analytics or reporting.
• Hands-on experience with BI/visualization tools (Power BI, Tableau, Looker).

Skills

SQL

Python / PySpark

Data modelling

BI/Visualization

Databricks

Snowflake

Metadata management

Data governance

Tools

Power BI

Tableau

Looker

Databricks

Snowflake

Job description

Role & responsibilities

Core Skills and Experience:

• 5-8 years of experience in analytics, data, or quantitative roles within financial services.
• Exposure to asset management, private markets, or capital markets (preferred but not mandatory).
• Strong SQL skills with experience working on large and complex datasets.
• Proficiency in Python / PySpark or willingness to build expertise in programming.
• Experience in data modelling for analytics or reporting use cases.
• Hands‑on experience with BI/visualization tools (Power BI, Tableau, Looker, etc.).
• Strong analytical thinking, problem‑solving ability, and attention to detail.
• Ability to work in a fast‑paced environment and manage multiple priorities.
• Knowledge of data governance, controls, and metadata management.

Preferred (but not essential) experience:

• Experience working with Databricks, Snowflake, or similar cloud data platforms.
• Understanding of data pipelines, ETL processes, or lakehouse architectures.
• Knowledge in coding best practices, testing, version control, and automating recurring analytics processes
• Experience with building light tools and applications using SQL, Python (eg. Streamlit)
• Exposure to private markets datasets or fund analytics.
• Prior experience mentoring or leading small teams.