К содержимому

Python Full Stack Engineer with Azure

Bangalore

Грейд
Senior
Формат
Офис
Занятость
Полная
Категория
Программист
Источник
💻☕️ Jobs_IT

Прямого контакта в посте нет

Откройте вакансию в Telegram-боте: там весь исходный пост и способ отклика.

Открыть в Telegram

Описание

🚀 Face-to-Face Drive – Python Full Stack with Azure

📍 Location: Bangalore
🗓 Interview Mode: Face-to-Face
🧑‍💻 Experience: 6–10 Years

We are hiring experienced Python Full Stack Engineers with strong Azure & Data Engineering expertise for an immediate face-to-face drive in Bangalore.

🔹 Key Responsibilities

Manage one or more data engineering projects of moderate complexity

Lead the design and development of data pipelines for faster, data-driven decisions

Design and implement high-volume, high-velocity data solutions to support business growth

Adopt modern development, testing, and deployment practices

Influence stakeholders in adopting insights and analytics outcomes

Partner with business teams to analyze and model complex KPIs

Develop and deploy big data platforms for advanced analytics

Work independently under broad managerial supervision

🎓 Education & Experience

Bachelor’s degree in any IT discipline

7+ years of experience in the IT industry

🛠 Technical Skills

Strong experience with Relational & SQL Databases

Understanding of Dead Letter Queue (DLQ) implementations

Ability to build secure and efficient HTTP APIs

Knowledge of microservices architecture and cloud/container deployments

Hands-on experience with:

Azure Functions

Azure Data Factory (ADF)

Azure Databricks

Azure SQL

Expertise in Python & PySpark

Strong analytical skills with Power BI reporting

Good understanding of Data Foundation initiatives:

Data Modelling

Data Quality Management

Data Governance

Data Maturity Assessments

Data Strategy

Experience with GitHub & GitHub Actions

📩 How to Apply

share the CV at:9538795347 (Whatsapp)
  • python
  • pyspark
  • azure
  • azure_functions
  • azure_data_factory
  • azure_databricks
  • azure_sql
  • sql
  • relational_databases
  • microservices
  • cloud
  • container
  • github
  • github_actions
  • power_bi
  • data_engineering
  • data_pipelines
  • data_modelling
  • data_quality_management
  • data_governance
  • data_maturity_assessments
  • data_strategy

Оценка вакансии

27/100 · минимум информации

  • Оценка описания недоступна
  • Зарплата не указана
  • Компания не названа
  • Контакта нет
  • Стек описан подробно
  • Формат работы понятен
Как считается

Похожие вакансии