Data Engineer

Requirement:

• Experience in any one SaaS based Software & High available Infrastructure Architectures
• Financial/Banking domain knowledge (Risk, Fraud, Security Aspects) is a plus
• Debugging/Identifying root cause on faults/performance of an Application (at least one project should
• highlight this requirements)
• Working knowledge of any one of Interfaces (RestAPI/HttpProcessor/WinServices)
• Know-How of anyone Monitoring tool (Nagios / Graphana / Kubernates / AWS Cloud Watch)
• SQL programming
• Troubleshoot enterprise applications
• PHP, .net and MS SQL, Apache server and Linux
• Jira usage
• Certifications: ITIL certification is a Plus

 Convert leads into sales.
 Responsible for establishing productive, professional relationships with key personnel of
customers.
 Responsible for all operations, customer servicing and customer retention activities for
customers.
 Responsible for driving business generation initiatives to achieve monthly, quarterly & yearly
targets.
 Responsible for business tracking, analyzing and reporting business results at desired and
periodic intervals to reporting authority.

 

·         Dot Net core(version 2.0 or 3.0)

·         Web API (Mandatory at least 3+ .net core)

·         Full Stack Developer - Dot net core Mandatory (Strong in OOPS)

·         MSSQL (T - SQL) – Mandatory

·         Entity Framework Core and Linq – Advantage

·         Azure Functions, Service bus, storage, Queues (If he has experience then high advantage)

·         Angular 2+ (optional)

Qualifications:

·         Strong problem-solving skills with an emphasis on product development.

·         Experience working with and creating data architectures.

·         Excellent written and verbal communication skills for coordinating across teams.

·         A drive to learn and master new technologies and techniques.

 

Job Overview

As DevOps Engineer Consultant you will be responsible for Continuous Integration, Continuous Development,
Continuous Delivery with a strong understanding of Business-Driven software integration and delivery approach, you will
be reporting into the Technical Lead.

Responsibilities & Duties

• Ideate and create CI and CD process and documentation for same.
• Ideate and create and Code Maintenance using Visual SVN/Jenkins.
• Design and implement new learning tools or knowledge
Job requirements:
• Should be able to research, design Code Maintenance Process from scratch.
• Should be able to research, design Continuous Integration Process from scratch.
• Should be able to research, design Continuous Development Process from scratch.
• Should be able to research, design Continuous Delivery Process from scratch.
• Should be worked on Install Shield for creating Instable.
• In-depth understanding of principles and best practices of Software Configuration Management (SCM) in Agile,
SCRUM and Waterfall methodologies.
• Experienced in Windows, Linux environment. Good knowledge and understanding of database and application
servers’ administration in a global production environment.
• Should have good understand and Knowledge on Windows and Linux Server Deployment
• Should have good understand and Knowledge on application hosting on Windows IIS
• Experienced in Visual SVN, Gitlab CI and Jenkins for CI and for End-to-End automation for all build and CD.
Mostly with product developed using Dot net technology.
• Experienced in working with version control systems like GIT and used Source code management client tools like
Git Bash, GitHub, Git Lab.
• Experience in using MAVEN/ANT/Bamboo as build tools for the building of deployable artifacts.
• Knowledge of using Routed Protocols: FTP, SFTP, SSH, HTTP, HTTPS and Connect directly.
• Experienced in deploying Database Changes to Oracle, db2, MSSQL and MYSQL databases.
• Having work experience in support of multi-platform like Windows, UNIX, Linux, Ubuntu.
• Managed multiple environments for both production and non-production where primary objectives included
automation, build out, integration and cost control.
• Expertise in trouble shooting the problems generated while building, deploying and production support.
• Good understanding of creating and managing the various development and build platforms and deployment
strategies.
• Excellent Knowledge of Application Lifecycle Management, Change & Release Management and ITIL process
• Exposed to all aspects of software development life cycle (SDLC) such as Analysis, Planning, Developing, Testing,
implementing and Post-production analysis of the projects.
• Good interaction with developers, managers, and team members to coordinate job tasks and strong
commitment to work.
• Documented daily meetings, build reports, release notes and many other day-to-day documentation and status
reports.
• Excellent communicative, interpersonal, intuitive and analytic and leadership skills with teamwork work
efficiently in both independent and teamwork environments.
• Enjoy working on all types of planned and unplanned issues/tasks.
• Implementing gitlab CI, gitlab, docker, maven ect.
• Should have knowledge on docker container which can be utilised in deployment process..
• Good Interpersonal Skills, team-working attitude, takes initiatives and very proactive in solving problems and
providing best solutions.
• Integrating various Version control tools, build tools, deployment methodologies (scripting) into Jenkins or (any
other tool), create an end to end orchestration build cycles.
• Troubleshoot build issues, performance and generating metrics on master's performance along with jobs usage.
• Design develop build and packaging tools for continuous integration build and reporting. Automate the build
and release cycles.
• Coordinate all build and release activities, ensure release processes is well documented, source control
repositories including branching and tagging.
• Maintain product release process, including generating and delivering release packages, generate various
metrics for tracking issues against releases and the means of tracking compatibility among products.
• Maintained and managed cloud & test environments and automation for QA, Product Management and Product
Support

Minimum of 2+ years of professional experience in web or hybrid app development
Must have Skills
==============
Excellent understanding on fundamentals of Javascript, HTML5, CSS3
Proficient in Javascript/CSS frameworks like AngularJS (2+), jQuery, Bootstrap
Proficient understanding of code versioning tools, such as Git/SVN
Very good with data structures and algorithms
Excellent communication skills to interact with clients/stakeholders
Good to have Skills
=================
REST API development using NodeJS, MongoDB, Express
UX skills like prototyping or wireframing the UI requirements
Mobile App development using Phonegap or Ionic or React Native or Flutter
Responsibilities
==============
Communicating with the clients/stakeholders to understand the project requirements.
Delivering front-end solution, ensuring client satisfaction.
Leading the front-end team from a technical, architectural and quality perspective.
Collaborating with the backend developers to build REST APIs.
What you will get?
================
Flexible timings
Small team, hence quick growth
Training on latest technologies

Primary Skills : - B.Tech/MS/PhD degree in Computer Science, Computer Engineering or related technical discipline with 3-4 years of industry experience in Data Science. - Proven experience of working on unstructured and textual data. Deep understanding and expertise of NLP techniques (POS tagging, NER, Semantic role labelling etc). - Experience working with some of the supervised/unsupervised learning ML models such as linear/logistic regression, clustering, support vector machines (SVM), neural networks, Random Forest, CRF, Bayesian models etc. The ideal candidate will have a wide coverage of the different methods/models, and an in depth knowledge of some. - Strong coding experience in Python, R and Apache Spark. Python Skills are mandatory. - Experience with NoSQL databases, such as MongoDB, Cassandra, HBase etc. - Experience of working with Elastic search is a plus. - Experience of working on Microsoft Azure is a plus although not mandatory. - Basic knowledge of Linux and related scripting like Bash/shell script. Role Description (Roles & Responsibilities) : - Candidate will research, design and implement state-of-the-art ML systems using predictive modelling, deep learning, natural language processing and other ML techniques to help meeting business objectives. - Candidate will work closely with the product development/Engineering team to develop solutions for complex business problems or product features. - Handle Big Data scale for training and deploying ML/NLP based business modules/chatbots.