Company Profile

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. Some company highlights:

- Quantiphi has seen 2.5x growth YoY since its inception in 2013
- Winner of the "Machine Learning Partner of the year" award from Google for two consecutive years - 2017 and 2018
- Winner of the "Social Impact Partner of the year" award from Google for 2019
- Headquartered in Boston, with 700+ data science professionals across different offices For more details, visit: our Website or our LinkedIn Page

Job Description

Role: Senior Senior Data Engineer

Work location: Mumbai/Bangalore/Trivandrum

Role & Responsibilities:

Strong proficiency in SQL, Python, DBT, AWS services, data modelling, Snowflake, building and maintaining data pipelines, and robust troubleshooting capabilities.

In addition, exposure to asset management, alternative investments, or broader financial domain knowledge is highly valuable.

Experience in establishing a golden source of truth using Snowflake as the data warehousing tool,



with current data sources coming from external sources via SFTP and SEI via a Snowflake share; the data engineer's role involves pushing data to the golden layer using Snowflake tools like streams and stored procedures, requiring strong SQL stored procedure and Python skills, as well as a valuable understanding of data modeling concepts like star schema

AWS resources on the Data side needed and not on the infra side & same for Snowflake.

Exposure to orchestration tool on Data engineering side, so that they can setup date pipeline etc

Seeking a hands-on engineer with five to six years of experience and knowledge of basic AWS services like Redshift and S3.

Data Ingestion, Frequency, and Orchestration The team is currently unsure of the exact frequency of files from JPMC but expects them to be on a daily or monthly basis, with transaction files potentially having a daily frequency

Orchestrating third-party feeds, they plan to use Snowflake workflows and jobs.

Tools: Snowflake Share, snowflake architecture (micro partition) , snowflake best practices, Snowflake SQLs, snowflake procedures, UDF, Task

Other Tools: Python is definitely a required skill, and basic knowledge of Unix and Linux is good to have for using tools like Git. Data streams are used for change tracking purposes within Snowflake.

📌 Senior Data Engineer (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai