Senior Executive – QA

The Role:

Candidates Should be able to Create user information solutions by developing, implementing, and maintaining Java based components and interfaces.

Responsibility:

● Defines site objectives by analyzing user requirements; envisioning system features and functionality.

● Integrates applications by designing database architecture and server scripting; studying and establishing connectivity with network systems, search engines, and information servers.

● Enhances organization reputation by accepting ownership for accomplishing new and different requests; exploring opportunities to add value to job accomplishments.

Requirement:

● 5+ Years of Software development experience in Java Programming.

● Having knowledge on Scala will be added advantage.

● Excellent core Java programming skills including multi-threading

● Design, Develop, build enterprise applications using Java and associated technologies

● Expert level knowledge in Spring Boot (includes spring core, spring web MVC/Webflux)

● Restful web service architecture and API management

● Solid foundation in data structures, algorithms, and software design NoSQL systems such as MongoDB, Redis

● Experience in Mysql will be an added advantage.

● Deep understanding of the project lifecycle process, able to define a comprehensive solution leading towards a common vision.

Job Summary:

We are seeking an experienced Back-end Developer to join our IT team. You will be responsible for the server-side of web applications. If you have excellent programming skills and a passion for developing or improving applications, we would like to meet you.

As a Back-end Developer, you will work closely with our team to ensure system consistency and enhance the user experience. Ultimately, you should be able to develop and maintain functional and stable web applications that meet our company's needs.

Responsibilities and Duties:

• Participate in the entire application lifecycle, focusing on coding and debugging
• Write clean code to develop functional web applications
• Troubleshoot and debug applications
• Perform unit tests to optimize performance
• Manage cutting-edge technologies to improve legacy applications
• Collaborate with front-end developers to integrate user-facing elements with server-side logic
• Gather and address technical and design requirements
• Provide training and support to internal teams
• Build reusable code and libraries for future use
• Liaise with developers, designers, and system administrators to identify new features required

Skills and Qualifications:

• Proven work experience as a Back-end Developer
• In-depth understanding of the entire web development process (design, development, and deployment)
• Hands-on experience with JS, ES6, Node.js, Express.js, MongoDB, building REST APIs, and GraphQL
• Excellent analytical and time management skills
• Strong teamwork skills with a problem-solving attitude
• BSc/BE or BTech degree in Computer Science or a relevant field

Skills:

• Node.js
• MongoDB
• JavaScript
• Express

Are you ready to revolutionize the manufacturing landscape? We're on the hunt for a dynamic OT-IT Expert who’s not just skilled but passionate about transforming operational technology! Join us in optimizing our manufacturing shop floors by auditing and enhancing infrastructure and connectivity. Your mission? Identify those sneaky gaps in our data collection architecture and ensure our machines and sensors talk smoothly to the cloud. If you thrive in IIoT environments and can navigate the complexities of communication protocols like a pro, we want you on our team!

Key Responsibilities:

1. Audit Like a Pro: Dive deep into our existing infrastructure and connectivity on the manufacturing shop floor.
2. Gap Detective: Identify gaps in our architecture for seamless data collection from machines and sensors to cloud systems.
3. Solution Architect: Design and propose the best-suited, cost-effective solution architectures based on your gap analysis.
4. Proposal Wizard: Develop and prepare detailed project proposals that impress stakeholders.
5. Supplier Negotiator: Identify and negotiate with suppliers for the required hardware and peripherals to bring your designs to life.
6. Challenge Anticipator: Plan ahead for potential implementation challenges and devise clever solutions.
7. Project Overlord: Oversee IIoT project implementations to ensure they stay on track and meet objectives.
8. Data Accuracy Guardian: Ensure the accuracy of captured data by validating against actual shop floor values.
9. Data Structurer: Develop and implement data format structuring and standard frameworks that enhance our operations.
10. Quality Assurance Champion: Perform thorough Quality Assurance (QA) on collected data before handing it over to our data engineers.

Required Skills and Experience:

• Extensive experience in IIoT projects involving field communication protocols (Modbus, OPC, PROFINET, PROFIBUS).
• Strong knowledge of PLC programming with hands-on experience in multiple PLC brands (Siemens, Allen-Bradley, Mitsubishi).
• Proficient in auditing and analyzing OT infrastructure like a seasoned expert.
• Expertise in cloud connectivity and data collection systems.
• Creative thinker with the ability to design scalable and cost-effective IIoT architectures.
• Strong negotiation skills to manage vendor relationships effectively.
• Exceptional problem-solving and forward-thinking abilities.
• Solid understanding of manufacturing processes and shop floor operations.
• Proven experience in data validation, structuring, and quality assurance.
• Familiarity with data engineering concepts and the ability to liaise with data engineering teams.

Preferred Qualifications:

• Bachelor's degree in Instrumentation, Information Technology, Electrical Engineering, or a related field.
• Relevant certifications in Industrial Automation or IIoT technologies.
• 5+ years of experience in OT/IT convergence projects within manufacturing environments.
• Experience with data standardization and framework development in industrial settings.

Key Attributes:

• Strategic thinker with a hands-on approach who can get things done.
• Excellent communication skills to connect with both technical and non-technical stakeholders.
• Proactive problem-solver with a history of successful project deliveries.
• Adaptable to rapidly evolving technology landscapes, ready for anything!
• Meticulous attention to detail, especially in data accuracy and quality.
• Strong analytical skills for data validation and structure optimization.

ROLES & RESPONSIBILITIES: 

• Candidate will be responsible for test execution of LTE protocol and performance, analyze and report software defects, interwork with development teams in identifying a potential fix and retest fixes. 
• Should be having good analysis skills with a sound understanding of LTE Concepts. 
• Responsibilities include test execution- with failure root cause analysis System acquisition, LTE Protocol testing. 
• The candidate will also support troubleshooting and reproducing customer failures for debugging. 
• Must have good call processing knowledge as per 3GPP specifications for GSM/GPRS/EDGE/WCDMA/LTE capable phones. 
• Candidate must be reliable regular with good work ethics. 

REQUIRED SKILLS/ABILITIES: 

• LTE with 5G/4G Experience 

1. Understanding of LTE/5G/4G end-to-end flows 
2. Working experience on UEs and/or RAN side. 
3. Good understanding of RRC, RRM MAC & NAS protocols on the Air interface 

• Tools and Analytical Skills 

1. Log Analysis Experience 
2. Working experience with end-to-end setups 
3. Scripting experience on Keysight/Anite/Anritsu/R&S tools. 

EDUCATION & EXPERIENCE: 

• B.Tech/M.Tech in Electronics and Communication 
• 3 to 8 years plus experience in the 4G/5G domain 
• Excellent communication and strong Analytical skills required 

• Work closely with your business to identify issues and use data to propose solutions for effective decision making
• Build algorithms and design experiments to merge, manage, interrogate and extract data to supply tailored reports to colleagues, customers or the wider organisation.
• Creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc
• Querying databases and using statistical computer languages: R, Python, SLQ, etc.
• Visualizing/presenting data through various Dashboards for Data Analysis, Using Python Dash, Flask etc.
• Test data mining models to select the most appropriate ones for use on a project
• Work in a POSIX/UNIX environment to run/deploy applications
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
• Develop custom data models and algorithms to apply to data sets.
• Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
• Assess the effectiveness of data sources and data-gathering techniques and improve data collection methods
• Horizon scan to stay up to date with the latest technology, techniques and methods
• Coordinate with different functional teams to implement models and monitor outcomes.
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work.

• Able to create algorithms to extract information from large data sets
• Strong knowledge of Python, R, Java or another scripting/statistical languages to automate data retrieval, manipulation and analysis.
• Experience with extracting and aggregating data from large data sets using SQL or other tools
• Strong understanding of various NLP, and NLU techniques like Named Entity Recognition, Summarization, Topic Modeling, Text Classification, Lemmatization and Stemming.
• Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, etc.
• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn
• Experience with Jupyter / Pandas / Numpy to manipulate and analyse data
• Knowledge of Machine Learning techniques and their respective pros and cons
• Strong Knowledge of various Data Science Visualization Tools like Tableau, PowerBI, D3, Plotly, etc.
• Experience using web services: Redshift, AWS, S3, Spark, DigitalOcean, etc.
• Proficiency in using query languages, such as SQL, Spark DataFrame API, etc.
• Hands-on experience in HTML, CSS, Bootstrap, JavaScript, AJAX, jQuery and Prototyping.
• Hands-on experience on C#, Javascript, .Net
• Experience in understanding and analyzing data using statistical software (e.g., Python, R, KDB+ and other relevant libraries)
• Experienced in building applications that meet enterprise needs – secure, scalable, loosely coupled design
• Strong knowledge of computer science, algorithms, and design patterns
• Strong oral and written communication, and other soft skills critical to collaborating and engage with teams