Python Django Microservices Lead @ NTT DATA, Inc.

Job Description

Req ID: 327849 We are currently seeking a Python Django Microservices Lead to join our team in Bangalore, Karntaka (IN-KA), India (IN). "Job DutiesResponsibilities:
Lead the development of backend systems using Django.
Design and implement scalable and secure APIs.
Integrate Azure Cloud services for application deployment and management.
Utilize Azure Databricks for big data processing and analytics.
Implement data processing pipelines using PySpark.
Collaborate with front-end developers, product managers, and other stakeholders to deliver comprehensive solutions.
Conduct code reviews and ensure adherence to best practices.
Mentor and guide junior developers.
Optimize database performance and manage data storage solutions.
Ensure high performance and security standards for applications.
Participate in architecture design and technical decision-making.Minimum Skills RequiredQualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
8+ years of experience in backend development.
8+ years of experience with Django.
Proven experience with Azure Cloud services.
Experience with Azure Databricks and PySpark.
Strong understanding of RESTful APIs and web services.
Excellent communication and problem-solving skills.
Familiarity with Agile methodologies.
Experience with database management (SQL and NoSQL).Skills:

Django, Python, Azure Cloud, Azure Databricks, Delta Lake and Delta tables, PySpark, SQL/NoSQL databases, RESTful APIs, Git, and Agile methodologies"

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Data warehouse Developer
Employement Type: Full time

Contact Details:

Company: NTT DATA, Inc.
Location(s): Bengaluru

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Keyskills:   azure databricks rest python pyspark django azure cloud services web services data processing backend development azure cloud sql nosql microservices git code review agile big data application deployment agile methodology nosql databases