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    Job · 22386714

    Acuity Knowledge Partners logo

    Python Developer

    Acuity Knowledge Partners · Gurugram · onsite · Posted 2d ago

    Not disclosed4–6 yrsfulltimeSourced fromFoundit

    About a minute. You'll make an account on the way through.

    About this role

    We are hiring multiple Python Developers for our AI, Data and Digital Services (AD&D) Team at Pune, Bengaluru and Gurgaon (hybrid: 2-3 days WFO).

    Immediate Joiners are highly preferred: 0-30 days - strong Python and SQL coding skills with 4+ years of production‑level experience delivering reliable and scalable solutions.

    What you'll do:

    1) Python engineering & reusable frameworks

    • Build modular Python packages (data processing, API clients, orchestration adapters), publishable to internal artifact repositories; enforce code quality, testing, and documentation standards.
    • Develop backend services/APIs (e.g., FastAPI/Flask) and CLI tools to support front‑end, middle‑tier, and cloud workflows; implement resilient error handling, observability hooks, and secure secrets usage.

    2) Data modeling, SQL & stored procedures

    • Design relational schemas and write/optimize complex SQL (windowing, CTEs, partitioning); author and refactor stored procedures (SQL Server/Oracle/Postgres) with attention to edge cases and performance.
    • Build data‑validation utilities that compare large datasets across environments and produce diffs for regression packs.

    3) Post‑trade domain, test automation & regression

    • Map post‑trade flows (allocations, clearing/settlement, confirmations, reconciliations) into datasets, rules, and assertions for repeatable regression.
    • Read and translate stored‑proc logic into automated test scripts; build a central repository of reusable checks integrated into CI/CD.
    • Nice to have: familiarity with trade/blotter platforms (e.g., ION) or similar post‑trade systems.

    4) CI/CD, DevOps & environment promotion

    • Design and operate multi‑stage CI/CD pipelines (Azure DevOps/Jenkins/GitLab) for code, data artifacts, and SQL deployables; implement approvals, rollbacks, environment strategy, and quality gates (lint, SAST/DAST, tests).
    • Containerize services where appropriate; integrate with AKS/Kubernetes or serverless jobs and wire up metrics/alerts for runtime health.

    5) Scheduling, batch & operationalization

    • Script the execution of AutoSys/batch jobs and stored procedures across dev/UAT/prod; add run‑books, logging, and guardrails; enable reliable, auditable promotions through environments.

    What you'll bring:

    • 4+ 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 orchestration; familiarity with secrets management and environment configuration.
    • Domain understanding of post‑trade data flows and how to encode them into repeatable regression checks.

    Interested candidates may please share their updated CVs at [HIDDEN TEXT]

    Sourced from foundit

    Skills

    JenkinsGitlabKubernetesAzure Devopsautosysapache airflowCelerySQLAlchemyFlask FrameworkasyncioPythonpyodbcSQLPandasCi/CdFastAPI

    About Acuity Analytics

    Acuity Knowledge Partners logo

    Acuity Knowledge Partners

    Analytics & KPO

    5k+

    employees

    2002

    24 years old

    Gurgaon / Gurugram, Haryana

    India

    About

    Acuity Analytics is a trusted partner to 850+ global financial firms, with 7,200+ people across 28 locations. We accelerate innovation through Digital Engineering, Data and AI.

    Industries

    IT Services & Consulting

    Employee ratings

    1,457 reviews

    3.1/ 5

    Culture

    3.0

    Career growth

    2.6

    Work-life

    3.3

    Employees rate it well for

    Work Life Balance311Salary193Work Culture154Senior Management151Learning121

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