Role: Senior Senior Data Engineer

Experience Level: 4+ Years

Work location: Mumbai/Bangalore/Trivandrum

Role & responsibilities
Solid 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 valuable to have for using tools like Git. Data streams are used for change tracking purposes within Snowflake.

📌 Senior Data Engineer Bengaluru (India)
🏢 Quantiphi Analytics Solutions
📍 India