Agiletech Info Solutions pvt ltd Careers

• 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

• 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

• 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

  Overall 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

 Extensive (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)

4 - 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.

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.

Technical 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.