Python Developer Data Test Engineer/ Back office(Empowering Talent

Acuity Analytics; India; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Acuity Analytics is seeking a hands-on Python Developer to design and build reusable frameworks spanning front-end integrations, backend services, and cloud execution. You will translate complex post-trade data flows into data models, stored procedures, and regression automation, owning CI/CD pipelines and batch job orchestration across environments.

The ideal candidate has experience with Python packaging, libraries like pandas, SQLAlchemy/pyodbc, and asyncio/celery for pipelines, plus

Qualifications

• 4–10 years of hands-on Python software engineering experience.
• Experience with post-trade data and financial domain is a plus.
• Strong experience in building CI/CD pipelines and data automation.

Responsibilities

• Collaborate with BAs, QEs, and traders/ops to clarify requirements and co design testable acceptance criteria; maintain living technical documentation and run-books.
• Champion reusability: templates, golden pipelines, sample data sets, and coding standards that scale across engagements.

Skills

Python

Pandas

SQL/DB

CI/CD

Azure DevOps

Jenkins

GitLab

Airflow

AutoSys

Shell scripting

Tools

SQLAlchemy/pyodbc

Celery

Asyncio

Pandas

Virtual Environments

Job description

Job Title: Python Developer _Data Test Engineer/Backoffice (Associate/ Sr Associate/ Delivery Lead/ Manager)

• Location: Gurgaon/Bangalore/Pune
• Work hours: 10am to 7pm IST
• Department: Data & Technology Services
• Experience Level : 4-10 years

Job Purpose

Were hiring a hands-on engineer to design and build a reusable Python frameworks that spans front-end integrations, backend/middle-tier services, and cloud execution. Youll translate complex, post-trade data flows into robust data models, stored procedures, and regression automation, and own CI/CDincluding scripts to run AutoSys/batch jobs and stored procs across environments. The ideal candidate brings pragmatic engineering discipline, capital-markets data intuition, and a builders mindset.

Key Responsibilities

• Collaborate with BAs, QEs, and traders/ops to clarify requirements and co design testable acceptance criteria; maintain living technical documentation and run-books.
• Champion reusability: templates, golden pipelines, sample data sets, and coding standards that scale across engagements

Key Competencies

• 410 years of hands-on software engineering with Python (incl. packaging, virtual envs, unit/integration testing); strong use of libraries such as pandas, SQL Alchemy/ pyodbc, and asyncio /celery for pipelines and services
• Expert SQL skills and stored-proc development (SQL Server/Oracle/Postgres), query tuning, and execution-plan analysis for large datasets.
• Proven experience designing CI/CD pipelines and automating promotion (code + data + DB objects) with Azure DevOps/Jenkins/GitLab; strong Git practices and code-review hygiene.
• Comfort with schedulers (AutoSys/Control-M/Airflow) and shell/Python scripting for batch or chestration; familiarity with secrets management and workplace configuration.
• Domain understanding of post-trade data flows and how to encode the m into repeatable regression checks. .