Python Developer_Data Test Engineer Back Office Empowering Talent Job Opportunities For Persons With Disabilities

Acuity Analytics; Gurugram District; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Acuity Analytics in India is seeking a hands-on Python Developer with 4–10 years of experience to design and build reusable Python frameworks spanning front-end integrations, backend/middle-tier services, and cloud execution. You will translate post-trade data flows into robust data models, regression automation, and CI/CD pipelines.

You will collaborate with BAs, QEs, and traders to define testable acceptance criteria, promote reusability, and implement scheduling with AutoSys/Airflow.

Qualifications

• 4–10 years of hands-on Python software engineering experience.
• Expert SQL skills and stored-proc development across SQL Server/Oracle/Postgres.
• Experience designing CI/CD pipelines and automating promotion with Azure DevOps/Jenkins/GitLab.
• Familiarity with schedulers (AutoSys/Control‑M/Airflow) and shell/Python scripting.
• Domain understanding of post-trade data flows and repeatable regression checks.

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

CI/CD pipelines

SQL

Data modeling

Tools

Pandas

SQLAlchemy

pyodbc

asyncio/Celery

Job description

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

We’re 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. You’ll translate complex, post‑trade data flows into robust data models, stored procedures, and regression automation, and own CI/CD—including scripts to run AutoSys/batch jobs and stored procs across environments. The ideal candidate brings pragmatic engineering discipline, capital‑markets data intuition, and a builder’s 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

• 4–10 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 environment configuration.
• Domain understanding of post-trade data flows and how to encode the m into repeatable regression checks.