Agiletech Info Solutions pvt ltd
https://agiletechinfosolutions.comAbout
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Jobs at Agiletech Info Solutions pvt ltd
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Python
Flask
Django- 2- 4 years’ experience in solution integration/delivering, and interfacing with customers.
- Hands-on experience in SQL and PL/SQL.
- Experience of working in agile teams in implementing large scale digital solutions.
- Good in programming & analytical skills
- Experience in dynamic programming language Python with Django
- Good understanding on enterprise integration, API development, and scalability
- Experience in Software Tools like: Git, Visual Studio code, Jenkins
- Solid experience in System Integration cycles, e.g., code review, source control, code
- quality
- automation scanning, bug scrub, feature testing and product release.
- Able to handle oncall support for bugs caused from delivery
- We are looking for people to co-work with us at our base location (Chennai)
- Ability to co-work with internal teams to optimise and fine tune the integration process
- and move towards a low-code integration framework
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Kotlin
Android DevelopmentJob Description :
- Number of years 4 to 5+
- Good in JAVA / Kotlin/ OO programming
- Strong grasp of Android SDK and lifecycle
- Strong Android programming and debugging skills
- Good in multi-threading and concurrency
- Strong in Android UI development
- Well-versed in Android app testing
- Problem/puzzle-solving skills
- Automation test frameworks like UI Automator, Expresso, APPIUM, etc.
- Database/ GreenDAO/ SQLLite
- Network Communications experience on Android is highly desired
- QR/ Barcode Reader
- Experience generating reports
- Security permissions, etc.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
.NET
AngularJS (1.x)
Angular (2+)
Javascript- Microsoft technology development experience in C#, ASP.NET, .NET 4.5 onwards, Web API, Bootstrap, Jquery, Angular SQL 2012 onwards, SQL stored procedure
- Must have ReactJs with 2 projects experience or min 1.5 Years experience in ReactJS based Projects
- Troubleshooting & analysing skills
- Development Experience required for Continuous improvement program
- Good problem solving capabilities in Developed applications
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Java
Spring Boot- 4 to 8 years of industry experience in (JAVA, Spring Boot , Microservices)
- Ability to effectively manage task distribution
- Able to adapt to changing business requirements and react quickly
- Strong customer focus and results-oriented attitude. Self-motivated individual & able to work independently
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
Responsibilities for Data Engineer
• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes,
optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data
from a wide variety of data sources using SQL and AWS big data technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer
acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with
data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and
optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
Qualifications for Data Engineer
• Experience building and optimizing big data ETL pipelines, architectures and data sets.
• Advanced working SQL knowledge and experience working with relational databases, query
authoring (SQL) as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to
answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and
workload management.
• A successful history of manipulating, processing and extracting value from large disconnected
datasets.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
NodeJS (Node.js)
MongoDB
ExpressOverall 4+ years of experience
· 2 year development experience in NodeJs(v4 and above)
· Knowledge in Unit testing frameworks like Mocha
· Experience in working with any NodeJs web framework(Express or Hapi)
· Development experience using any persistent store (NoSql or Relational)
Formal Deliverables
· Design and development of new and enhance existing applications using Node.JS
· Collaborate with internal and external team members to ensure projects get delivered as planned
· Develop Backend services using HapiJs
· Develop background workers based on cron or rabbitmq messages
· Support existing and new features via bug fixes, prod support or monitoring scripts
· Unit testing for all the developed modules
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
React.jsJavascript
Redux/FluxExtensive (4+ years) knowledge of web technologies and building large scale web applications
· Strong proficiency in Java Script
· Expertise in Object-oriented programming
· Understanding the fully asynchronous behavior of React.js (Redux)
· Solid understanding of user-centered design principles and MVC/MVP/MVVM patterns specific
to front- end development
· Good in problem-solving skills
· Good in English communication (verbal and written)
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Data Analytics4 - 8 overall experience.
- 1-2 years’ experience in Azure Data Factory - schedule Jobs in Flows and ADF Pipelines, Performance Tuning, Error logging etc..
- 1+ years of experience with Power BI - designing and developing reports, dashboards, metrics and visualizations in Powe BI.
- (Required) Participate in video conferencing calls - daily stand-up meetings and all day working with team members on cloud migration planning, development, and support.
- Proficiency in relational database concepts & design using star, Azure Datawarehouse, and data vault.
- Requires 2-3 years of experience with SQL scripting (merge, joins, and stored procedures) and best practices.
- Knowledge on deploying and run SSIS packages in Azure.
- Knowledge of Azure Data Bricks.
- Ability to write and execute complex SQL queries and stored procedures.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Docker
Kubernetes
Amazon Web Services (AWS)DevOps Engineer
Job Description:
The position requires a broad set of technical and interpersonal skills that includes deployment technologies, monitoring and scripting from networking to infrastructure. Well versed in troubleshooting Prod issues and should be able to drive till the RCA.
Skills:
- Manage VMs across multiple datacenters and AWS to support dev/test and production workloads.
- Strong hands-on over Ansible is preferred
- Strong knowledge and hands-on experience in Kubernetes Architecture and administration.
- Should have core knowledge in Linux and System operations.
- Proactively and reactively resolve incidents as escalated from monitoring solutions and end users.
- Conduct and automate audits for network and systems infrastructure.
- Do software deployments, per documented processes, with no impact to customers.
- Follow existing devops processes while having flexibility to create and tweak processes to gain efficiency.
- Troubleshoot connectivity problems across network, systems or applications.
- Follow security guidelines, both policy and technical to protect our customers.
- Ability to automate recurring tasks to increase velocity and quality.
- Should have worked on any one of the Database (Postgres/Mongo/Cockroach/Cassandra)
- Should have knowledge and hands-on experience in managing ELK clusters.
- Scripting Knowledge in Shell/Python is added advantage.
- Hands-on Experience over K8s based Microservice Architecture is added advantage.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
PythonTechnical Skills Required – Mandatory:
- Cloud Technologies – AWS OR Bigdata (Basic Level)
- Python (Highly Experience Level)
- Databases – SQL (Highly Experience Level)
- Operating Systems – Unix (Highly Experience Level)
Strong knowledge in writing complex SQL queries and Knowledge of Performance Tuning
Excellent working knowledge of production support role and Strong debug/troubleshooting skills
Provide 24×7 operational support to all production practices on holidays and weekends.
Hands-on experience in production support for data engineering processes, root cause analysis, and identifying opportunities to improve existing processes.
Roles and Responsibilities:
Set up and optimize the existing integration, monitoring and alerting processes.
Working knowledge of ETL/ELT in Hadoop, Spark and MPP databases is required.
Effectively collaborate with the partners (SMEs, DBA, and Business users) to ensure the reliability of the Data systems.
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𝐎𝐮𝐫 𝐚𝐧𝐬𝐰𝐞𝐫:
AI voice employees that handle the work nobody wants to do. Customer calls at 11 PM. Follow-ups that slip through the cracks. Onboarding that takes forever. These aren't just tasks—they're the things that keep great people from doing great work.
𝐖𝐡𝐚𝐭 𝐰𝐞'𝐯𝐞 𝐥𝐞𝐚𝐫𝐧𝐞𝐝:
The best technology feels invisible. Our AI employees don't feel like software—they feel like that reliable teammate who just gets things done. No hand-holding, just consistent results that make everyone's day better.
𝐇𝐨𝐰 𝐰𝐞 𝐭𝐡𝐢𝐧𝐤 𝐚𝐛𝐨𝐮𝐭 𝐢𝐭:
This isn't about replacing anyone. It's about giving your team superpowers. When AI handles the repetitive conversations, your people can focus on solving problems, building relationships, and creating things that matter.
𝐖𝐡𝐚𝐭 𝐝𝐫𝐢𝐯𝐞𝐬 𝐮𝐬:
Every business has incredible people doing mundane work. We think that's backwards. So we built AI employees that free up human potential—one conversation at a time.
We're not trying to change the world overnight. We're just making tomorrow a little better than today, for teams who believe work should be meaningful.
Ready to give your team superpowers?
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