API Automation Test Engineer

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Job Role: Profile Data Setup Analyst

Job Title: Data Analyst

Location: Vadodara | Department: Customer Service |

Experience: 3 - 5 Years

Job Overview

A company, we’ve been transforming the window and door industry with intelligent

software for over 40 years. Our solutions power manufacturers, dealers, and installers globally,

enabling efficiency, accuracy, and growth. We are now looking for curious, data-driven professionals

to join our mission of delivering world-class digital solutions to our customers.

Job Overview

As a Profile Data Setup Analyst, you will play a key role in configuring, analysing, and managing product

data for our customers. You will work closely with internal teams and clients to ensure accurate,

optimized, and timely data setup . This role is perfect for someone who

enjoys problem-solving, working with data, and continuously learning.

Key Responsibilities

• Understand customer product configurations and translate them into structured data using

Windowmaker Software.

• Set up and modify profile data including reinforcements, glazing, and accessories, aligned with

customer-specific rules and industry practices.

• Analyse data, identify inconsistencies, and ensure high-quality output that supports accurate

quoting and manufacturing.

• Collaborate with cross-functional teams (Sales, Software Development, Support) to deliver

complete and tested data setups on time.

• Provide training, guidance, and documentation to internal teams and customers as needed.

• Continuously look for process improvements and contribute to knowledge-sharing across the

team.

• Support escalated customer cases related to data accuracy or configuration issues.

• Ensure timely delivery of all assigned tasks while maintaining high standards of quality and

attention to detail.

Required Qualifications

• 3–5 years of experience in a data-centric role.

• Bachelor’s degree in engineering e.g Computer Science, or a related technical field.

• Experience with product data structures and product lifecycle.

• Strong analytical skills with a keen eye for data accuracy and patterns.

• Ability to break down complex product information into structured data elements.

• Eagerness to learn industry domain knowledge and software capabilities.

• Hands-on experience with Excel, SQL, or other data tools.

• Ability to manage priorities and meet deadlines in a fast-paced environment.

• Excellent written and verbal communication skills.

• A collaborative, growth-oriented mindset.

Nice to Have

• Prior exposure to ERP/CPQ/Manufacturing systems is a plus.

• Knowledge of the window and door (fenestration) industry is an added advantage.

Why Join Us

• Be part of a global product company with a solid industry reputation.

• Work on impactful projects that directly influence customer success.

• Collaborate with a talented, friendly, and supportive team.

• Learn, grow, and make a difference in the digital transformation of the fenestration industry.

Senior Data Engineer Job Description

Overview

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and

infrastructure to support data-driven decision-making and advanced analytics. This role requires deep

expertise in data engineering, strong problem-solving skills, and the ability to collaborate with

cross-functional teams to deliver robust data solutions.

Key Responsibilities

Data Pipeline Development: Design, build, and optimize scalable, secure, and reliable data

pipelines to ingest, process, and transform large volumes of structured and unstructured data.

Data Architecture: Architect and maintain data storage solutions, including data lakes, data

warehouses, and databases, ensuring performance, scalability, and cost-efficiency.

Data Integration: Integrate data from diverse sources, including APIs, third-party systems,

and streaming platforms, ensuring data quality and consistency.

Performance Optimization: Monitor and optimize data systems for performance, scalability,

and cost, implementing best practices for partitioning, indexing, and caching.

Collaboration: Work closely with data scientists, analysts, and software engineers to

understand data needs and deliver solutions that enable advanced analytics, machine

learning, and reporting.

Data Governance: Implement data governance policies, ensuring compliance with data

security, privacy regulations (e.g., GDPR, CCPA), and internal standards.

Automation: Develop automated processes for data ingestion, transformation, and validation

to improve efficiency and reduce manual intervention.

Mentorship: Guide and mentor junior data engineers, fostering a culture of technical

excellence and continuous learning.

Troubleshooting: Diagnose and resolve complex data-related issues, ensuring high

availability and reliability of data systems.

Required Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science,

or a related field.

Experience: 5+ years of experience in data engineering or a related role, with a proven track

record of building scalable data pipelines and infrastructure.

Technical Skills:

Proficiency in programming languages such as Python, Java, or Scala.

Expertise in SQL and experience with NoSQL databases (e.g., MongoDB, Cassandra).

Strong experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services

(e.g., Redshift, BigQuery, Snowflake).

Hands-on experience with ETL/ELT tools (e.g., Apache Airflow, Talend, Informatica) and

data integration frameworks.

Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and distributed

systems.

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes) is a

plus.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, dynamic environment and manage multiple priorities.

Certifications (optional but preferred): Cloud certifications (e.g., AWS Certified Data Analytics,

Google Professional Data Engineer) or relevant data engineering certifications.

Preferred Qualifica

Experience with real-time data processing and streaming architectures.

Familiarity with machine learning pipelines and MLOps practices.

Knowledge of data visualization tools (e.g., Tableau, Power BI) and their integration with data

pipelines.

Experience in industries with high data complexity, such as finance, healthcare, or

e-commerce.

Work Environment

Location: Hybrid/Remote/On-site (depending on company policy).

Team: Collaborative, cross-functional team environment with data scientists, analysts, and

business stakeholders.

Hours: Full-time, with occasional on-call responsibilities for critical data systems.

Company Description

Who We Are:

We are KG Group of Educational Institutions, a highly reputed name in Coimbatore with decades of experience in shaping bright futures. As a team, we are driven by innovation, collaboration, and a passion for fostering growth, both in our students and our employees. Our commitment to creating a positive, supportive work environment has earned us the prestigious “Great Place to Work” tag, reflecting our focus on employee well-being, growth, and a thriving work culture.

Role Description

This is a full-time Assistant Professor role in Psychology / Visual Communication located in Coimbatore. The role involves teaching, research, and academic activities related to psychology/ visual communication.

Qualifications

• Strong Communication skills
• Background in Education
• Excellent research and teaching abilities
• PhD or UGC - NET or SET equivalent in Psychology / Visual communication
• Freshers can also apply

Candidates preferably from Tamilnadu / Kerala

POSITION:

Senior Data Engineer

The Senior Data Engineer will be responsible for building and extending our data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys working with big data and building systems from the ground up.

You will collaborate with our software engineers, database architects, data analysts and data scientists to ensure our data delivery architecture is consistent throughout the platform. You must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

What You’ll Be Doing:

● Design and build parts of our data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources using the latest Big Data technologies.

● Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

● Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

● Work with machine learning, data, and analytics experts to drive innovation, accuracy and greater functionality in our data system.

Qualifications:

● Bachelor's degree in Engineering, Computer Science, or relevant

field.

● 10+ years of relevant and recent experience in a Data Engineer role.

● 5+ years recent experience with Apache Spark and solid understanding of the fundamentals.

● Deep understanding of Big Data concepts and distributed systems.

● Strong coding skills with Scala, Python, Java and/or other languages and the ability to quickly switch between them with ease.

● Advanced working SQL knowledge and experience working with a variety of relational databases such as Postgres and/or MySQL.

● Cloud Experience with DataBricks

● Experience working with data stored in many formats including Delta Tables, Parquet, CSV and JSON.

● Comfortable working in a linux shell environment and writing scripts as needed.

● Comfortable working in an Agile environment

● Machine Learning knowledge is a plus.

● Must be capable of working independently and delivering stable,

efficient and reliable software.

● Excellent written and verbal communication skills in English.

● Experience supporting and working with cross-functional teams in a dynamic environment.

REPORTING: This position will report to our CEO or any other Lead as assigned by Management.

EMPLOYMENT TYPE: Full-Time, Permanent LOCATION: Remote (Pan India) SHIFT TIMINGS: 2.00 pm-11:00pm IST

WHO WE ARE:

SalesIntel is the top revenue intelligence platform on the market. Our combination of automation and researchers allows us to reach 95% data accuracy for all our published contact data, while continuing to scale up our number of contacts. We currently have more than 5 million human-verifi ed contacts, another 70 million plus machine processed contacts, and the highest number of direct dial contacts in the industry. We guarantee our accuracy with our well-trained research team that re-verifi es every direct dial number, email, and contact every 90 days. With the most comprehensive contact and company data and our excellent customer service, SalesIntel has the best B2B data available. For more information, please visit – www.salesintel.io

WHAT WE OFFER: SalesIntel’s workplace is all about diversity. Different countries and cultures are represented in our workforce. We are growing at a fast pace and our work environment is constantly evolving with changing times. We motivate our team to better themselves by offering all the good stuff you’d expect like Holidays, Paid Leaves, Bonuses, Incentives, Medical Policy and company paid Training Programs.

SalesIntel is an Equal Opportunity Employer. We prohibit discrimination and harassment of any type and offer equal employment opportunities to employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Desired Candidate Profile

• Graduation is a must
• Relevant work experience of 2-5 years in export management
• Prior work experience of handling exports in FMCG companies and in markets including the Middle East, Far East, Asia
• Excellent communication skills and proficiency in MS Office Suite    

• Looking for 0-30 Days and Notice Period Serving resources (Across the Globe)
• 4-13 years developing n-tier modern software applications in a highly transparent agile organization with iterations, continuous integration, and a drive for quality
• At least 4 years of experience in software development building Web Services in Java, SpringBoot, Elasticsearch, and Open source technologies
• At least 4 years UI programming experience with JavaScript, CSS, JSON
• At least 3 years using ReactJS or VueJS, jQuery and Bootstrap, or similar frameworks
• Experienced in service layer integration (e.g. data, authentication, 3rd party systems) using Ajax and REST APIs.
• Experienced in UI and backend unit testing, functional testing, and performance testing tools.
• Must have experience building responsive web applications and related best practices.
• Experience in building Micro Services using cloud native environments like Azure, Spring Cloud, AWS or GCP with sound understanding of Micro Services Design Patterns
• Strong interpersonal, written communication, and presentation skills
• Experience with real-time streaming processing (Kafka/Storm) is preferred
• Proven ability to design and implement web services in a RESTful manner, along with understanding our broader service-oriented architectures
• Proven ability to work within a cross functional agile team
• Must be a self-starter and able to work well with others in a fast-paced agile environment with an emphasis on collaborating and assisting the team to meet business objectives
• Ability to use tools such as JIRA, Git, etc. preferred
• Experience with containerized environments such as PCF, Docker, etc. is highly desirable