Senior Engineer

The success of this role is measured across two core capability areas:

1) Database Design & Data Analysis

Success in this role requires a strong foundation in data modeling and database design, with the ability to structure data that supports scalable and efficient analytics. The ideal candidate can analyze raw data, interpret business logic, and translate it into well-documented, tested data models. Familiarity with SDLC processes is essential, including requirement gathering, validation, and quality assurance of data assets.

2) Technical Execution & Infrastructure

The ideal candidate has strong expertise in developing and managing data transformation pipelines using SQL and Python, with a focus on performance, scalability, and reliability. They should be well-versed in orchestrating workflows, deploying solutions in Snowflake, and working with AWS services across various environments. Experience with CI/CD using tools like Jenkins, along with Docker for containerization, is essential for maintaining robust and repeatable deployment processes.

• 3+ years

  of hands-on experience in

  data transformation

  ,

  data warehouse/database development

  , and

  ETL

  processing on large-scale datasets.
• Proven expertise in

  SQL

  with deep understanding of

  complex queries

  , including joins, unions, CTEs, and conditional logic.
• Proficiency in

  Python

  for scripting, automation, and data manipulation.
• Comfortable working in

  Linux

  environments and with

  version control systems

  (e.g., Git).
• Experience working within

  SDLC frameworks

  and Agile methodologies in a professional software development setting.
• Experience with

  containerization technologies

  such as

  Docker

  ,

  Kubernetes

  , or

  serverless architectures

  .
• Strong

  organizational and multitasking skills

  , with the ability to manage multiple parallel projects effectively.
• Excellent

  communication skills

  , both written and verbal, to collaborate with business and technical teams toward shared outcomes.
• Self-driven and proactive, with a strong

  customer-focused

  mindset.
• Working knowledge of

  Regular Expressions (Regex)

  .
• Bachelors degree in

  Computer Science

  ,

  Information Systems

  ,

  Data Science

  , or a related field.

Preferred / Nice to Have

• Familiarity with

  dbt (data build tool)

  for managing and scaling transformation logic.
• Hands-on experience with

  business intelligence tools

  like

  Tableau

  or

  Sigma

  .