Live opening · Posted 3 days ago

Python Developer_Data Test Engineer/ Back office(Empowering Talent: Job Opportunities for Persons with Disabilities)

Acuity Analytics · Gurugram, Haryana, India (On-site)
Linkedin No
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyAcuity Analytics
LocationGurugram, Haryana, India (On-site)
Work modeNo
SkillsPython, Azure, PostgreSQL, Pandas
SourceLinkedin
ListedPosted 3 days ago

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About the role

Description supplied by the original job listing.

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.

Work arrangement
No

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