Data Engineer

Wissen Technology; Mumbai, Navi Mumbai; Hybrid; INR 900,000 - 1,500,000; Full time

Job summary

Wissen Technology seeks a data engineer to design, develop, and maintain ETL/ELT pipelines using Python and SQL. You will leverage AWS data stack (S3, Redshift, Glue, Lambda) to build scalable data pipelines and data models for trading and analytics.

You will collaborate with stakeholders across business lines and technology to deliver time-critical data solutions in a fast-paced environment. The role requires 4+ years of hands-on experience with Python and SQL, plus strong data modelling skills

Qualifications

• 4+ years of experience with Python and SQL.
• Proficiency with AWS data stack (S3, Redshift, Glue, Lambda). AWS certifications are a plus.
• Experience building and maintaining time-critical data integration pipelines (ETL/ELT).
• Strong data modelling skills.
• Experience with enterprise-scale data systems.
• Experience in a trading environment (physical or paper) is highly desirable.

Responsibilities

• Develop and maintain Python and SQL scripts for data extraction, transformation, and loading (ETL/ELT).
• Utilize AWS data stack, including S3, Redshift, Glue, and Lambda, to build and maintain data pipelines.
• Design and implement data models for various internal and external datasets.
• Contribute to the automation of trading desk processes.
• Develop web applications to support trading operations and analytics.
• Acquire a deep understanding of technical projects on the trading desk to better serve commercial needs.
• Collaborate and communicate effectively with stakeholders across different business lines and technology.

Skills

Python

SQL

AWS stack

ETL/ELT

Data modelling

Data pipelines

Tools

S3

Redshift

Glue

Lambda

Job description

• Develop and maintain Python and SQL scripts for data extraction, transformation, and loading (ETL/ELT).
• Utilize AWS data stack, including S3, Redshift, Glue, and Lambda, to build and maintain data pipelines.
• Design and implement data models for various internal and external datasets.
• Contribute to the automation of trading desk processes.
• Develop web applications to support trading operations and analytics.
• Acquire a deep understanding of technical projects on the trading desk to better serve commercial needs.
• Collaborate and communicate effectively with stakeholders across different business lines and technology.

Required Knowledge, Skills and Abilities:

• 4+ years of experience with Python and SQL. We are flexible with years of experience and focus is on candidate with right skill and knowledge.
• Proficiency with AWS data stack (S3, Redshift, Glue, Lambda). AWS certifications are a plus.
• Experience building and maintaining time-critical data integration pipelines (ETL/ELT).
• Strong data modelling skills.
• Experience with enterprise-scale data systems.
• Experience in a trading environment (physical or paper) is highly desirable.