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 - 2,000,000; Full time

Job summary

Acuity Analytics is seeking a hands‑on Python Developer / Data Test Engineer to design reusable frameworks spanning front‑end integrations, backend services, and cloud execution. You will translate post‑trade data flows into robust data models, stored procedures, and regression automation while owning CI/CD across environments.

The role requires 4–10 years of software engineering experience with Python, strong SQL, and experience with scheduling tools like AutoSys or Airflow to automate batch

Qualifications

• 4–10 years of hands‑on software engineering with Python
• Expert SQL skills and stored‑proc development (SQL Server/Oracle/Postgres)
• CI/CD pipeline design and automation experience (Azure DevOps/Jenkins/GitLab)
• Scheduling tools familiarity (AutoSys/Control‑M/Airflow) and shell/Python scripting
• Domain understanding of post‑trade data flows and 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

SQL

Pandas

SQLAlchemy

pyodbc

Asyncio

Celery

CI/CD

Azure DevOps

Jenkins

GitLab

Git

AutoSys

Control-M

Airflow

Shell scripting

Secrets management

Unit testing

Tools

SQLAlchemy (ORM)

pyodbc

Azure DevOps

Jenkins

GitLab

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.