
Vikash Technologies
https://vikashtechnologies.comJobs at Vikash Technologies
Total years of experience: 15+ years
Relevant years of experience: 6+ years
MANDATORY SKILLS :
Delivery Manager, End to End Delivery, handling multiple stakeholders, Driving technical team, Insurance domain exp, Governance and Reporting, Account growth, Customer satisfaction
Only Female candidates
Hiirng for Dot Net Lead
Exp : 7 - 11 yrs
Edu : BE/B.tech
Work Location : Pune WFO
Skills :
7+ years of hands-on .NET development; minimum 4 years on .NET 6+ with proven progression toward .NET 8/10 .
Strong command of Clean Architecture and DDD — aggregates, value objects, domain events, bounded contexts.
Solid EF Core skills: fluent configuration, migrations, performance tuning, multi-database support.
JWT / OAuth 2.0 / OpenID Connect implementation in ASP.NET Core.
MSSQL Server at production scale
Docker and container-first development; CI/CD awareness (GitHub Actions, Azure DevOps, or equivalent).
Proficiency in xUnit for unit and integration testing.
Strong Advantage
• Experience with Azure Identity, Managed Identity, and Azure Key Vault secret management
Bachelor’s degree in Computer Science, or a related field.
Certified Scrum Master (CSM, PSM I or higher) – required.
7+ years of experience as a Scrum Master in an Agile/Scrum environment.
Must be from Banking Domain or BFSI Domain only
Experience in costing, budgeting and capacity planning
Proficiency in Jira, Confluence, and budgeting tools (e.g., Excel, financial dashboards, or ERP systems).
Hiring for Engineering Manager – Data Engineering
Exp : 10 - 15 yrs
Work Location : Pune WFO
Must Have Skills :
10+ years of experience in Data Engineering.
3+ years of experience leading Data Engineering teams.
Must be a Manager
Strong hands-on experience with Databricks on Azure.
Strong expertise in PySpark, Spark SQL, Python, and SQL.
Hands-on experience with Delta Lake, Delta Live Tables (DLT), Unity Catalog, Databricks Workflows, and Auto Loader.
Experience designing and building enterprise-scale data platforms.
Strong knowledge of ETL/ELT, Medallion Architecture, and batch & streaming data pipelines.
Hiring for Senior Devops Engineer - AWS
Exp : 6 - 8 yrs
Edu : BE/B.Tech
Work Location : Pune WFO
Notice Period : Immediate - 15 days
Skills :
5+ years of hands-on experience in DevOps Engineering and Infrastructure Management.
Exp with AWS Cloud, including EC2, S3, VPC, EKS, Lambda, IAM, CloudWatch, and other core AWS services.
Exp in Terraform for Infrastructure as Code (IaC).
Exp with Kubernetes (EKS) and Helm for container orchestration and deployment.
Good knowledge of Monitoring & Observability tools such as Grafana and Prometheus.
Hiring for Data Analyst
Exp : 5 - 7 yrs
Edu : BE/B.Tech
Work Location : Noida WFO
Skills :
Expertise in SQL Server, including database design, performance tuning, query optimization, and security.
Hands-on experience developing ETL solutions using SSIS, Azure Data Factory (ADF), and Python.
Hiiring for Python Full Stack Lead
Exp : 6 - 10 yrs
Edu : BE/B.Tech 60–65%
Work Location : Pune
Skills :
Python, React, Django, Django REST Framework
Experience: 4+ years of experience in Python
2+ years of experience in React.Js
Lead Experience Must
Hiring for Lead Python Developer
Exp : 7+ yrs
Edu : BE/B.Tech
Work Location : Bengaluru / Gurugram Hybrid
Skills :
Strong expertise in Python programming.
Experience with frameworks such as: Django Flask FastAPI
Strong understanding of: REST APIs Microservices Architecture OOPs Concepts Design Patterns
Experience with databases: PostgreSQL MySQL MongoDB Redis
Hands-on experience with: Docker Kubernetes CI/CD Pipelines Git/GitHub/GitLab
Cloud platform experience: AWS / Azure / GCP
Knowledge of message brokers: Kafka / RabbitMQ
Experience with unit testing and automation frameworks.
Leadership Skills Strong team handling and mentoring experience.
Ability to drive technical discussions and architecture decisions.
Excellent stakeholder management and communication skills.
Experience managing Agile/Scrum teams.
Preferred Qualifications Bachelor’s/Master’s degree in Computer Science or related field.
Experience in large-scale enterprise applications.
Exposure to AI/ML integrations is an added advantage. Certifications in cloud or Python technologies are preferred.
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