Manager - Google Analytics Universal

Job Posting: Sales Engineer

Location: Southern part of India ( Hyderabad / Nearby Location)

Industry: Production / Manufacturing / Maintenance

Experience: 1–4 years

Education: B.E. / Diploma (Mechanical)

Must be Only from Power Industry

Job type : Field work need to visit industries do marketing of the products ( Quarterly visit to their Mumbai) Office

Working Days : Monday to Saturday - Saturdays half day

Working time :9:30 to 6pm

Opening for Sales Engineer for a global leader in wear-resistant solutions, serving industries such as Power, Steel, Mining, and Cement. With operations and associations across the UAE, South Africa, USA, and India

Key Responsibilities

Achieve assigned sales targets for products and solutions. 

Engage with corporate customers for business development and relationship management. 

Conduct technical presentations and product demonstrations at client sites. 

Handle technical and commercial aspects of customer inquiries. 

Ensure prompt resolution of customer complaints and quality issues. 

Develop and execute short-term and long-term marketing goals. 

Submit regular reports on marketing activities and progress. 

Be open to travel or relocation across India as required. 

(For Managerial Role) Lead and mentor application engineers to streamline production systems and processes. 

Desired Candidate Profile

1–3 years of experience in selling equipment or machinery in Power, Steel, Cement, or Mining sectors. 

Strong knowledge of Power sector operations. 

Excellent communication skills in English and Hindi (Tamil/Telugu preferred). 

Proven ability to handle clients and achieve sales targets. 

Team-handling experience is an added advantage. 

Role & Responsibilities:

We are looking for a strong Data Engineer to join our growing team. The ideal candidate brings solid ETL fundamentals, hands-on pipeline experience, and cloud platform proficiency — with a preference for GCP / BigQuery expertise.

Responsibilities:

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows
• Work with Dataform or DBT to implement transformation logic and data models
• Develop and optimize data solutions on GCP (BigQuery, GCS) or AWS/Azure
• Support data migration initiatives and data mesh architecture patterns
• Collaborate with analysts, scientists, and business stakeholders to deliver reliable data products
• Apply data governance and quality best practices across the data lifecycle
• Troubleshoot pipeline issues and drive proactive monitoring and resolution

Ideal Candidate:

• Strong Data Engineer Profile
• Must have 6+ years of hands-on experience in Data Engineering, with strong ownership of end-to-end data pipeline development.
• Must have strong experience in ETL/ELT pipeline design, transformation logic, and data workflow orchestration.
• Must have hands-on experience with any one of the following: Dataform, dbt, or BigQuery, with practical exposure to data transformation, modeling, or cloud data warehousing.
• Must have working experience on any cloud platform: GCP (preferred), AWS, or Azure, including object storage (GCS, S3, ADLS).
• Must have strong SQL skills with experience in writing complex queries and optimizing performance.
• Must have programming experience in Python and/or SQL for data processing.
• Must have experience in building and maintaining scalable data pipelines and troubleshooting data issues.
• Exposure to data migration projects and/or data mesh architecture concepts.
• Experience with Spark / PySpark or large-scale data processing frameworks.
• Experience working in product-based companies or data-driven environments.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

NOTE:

• There will be an interview drive scheduled on 28th and 29th March 2026, and if shortlisted, they will be expected to be available on these Interview dates. Only Immediate joiners are considered.

Hi Kirti,

Job Title: Data Analytics Engineer

Experience: 3 to 6 years

 Location: Gurgaon (Hybrid)

Employment Type: Full-time

Job Description: 

We are seeking a highly skilled Data Analytics Engineer with expertise in Qlik Replicate, Qlik Compose, and Data Warehousing to build and maintain robust data pipelines. The ideal candidate will have hands-on experience with Change Data Capture (CDC) pipelines from various sources, an understanding of Bronze, Silver, and Gold data layers, SQL querying for data warehouses like Amazon Redshift, and experience with Data Lakes using S3. A foundational understanding of Apache Parquet and Python is also desirable. 

Key Responsibilities: 

1. Data Pipeline Development & Maintenance 

• Design, develop, and maintain ETL/ELT pipelines using Qlik Replicate and Qlik Compose. 
• Ensure seamless data replication and transformation across multiple systems. 
• Implement and optimize CDC-based data pipelines from various source systems. 

2. Data Layering & Warehouse Management 

• Implement Bronze, Silver, and Gold layer architectures to optimize data workflows. 
• Design and manage data pipelines for structured and unstructured data. 
• Ensure data integrity and quality within Redshift and other analytical data stores. 

3. Database Management & SQL Development 

• Write, optimize, and troubleshoot complex SQL queries for data warehouses like Redshift. 
• Design and implement data models that support business intelligence and analytics use cases. 

4. Data Lakes & Storage Optimization 

• Work with AWS S3-based Data Lakes to store and manage large-scale datasets. 
• Optimize data ingestion and retrieval using Apache Parquet. 

5. Data Integration & Automation 

• Integrate diverse data sources into a centralized analytics platform. 
• Automate workflows to improve efficiency and reduce manual effort. 
• Leverage Python for scripting, automation, and data manipulation where necessary. 

6. Performance Optimization & Monitoring 

• Monitor data pipelines for failures and implement recovery strategies. 
• Optimize data flows for better performance, scalability, and cost-effectiveness. 
• Troubleshoot and resolve ETL and data replication issues proactively. 

Technical Expertise Required: 

• 3 to 6 years of experience in Data Engineering, ETL Development, or related roles. 
• Hands-on experience with Qlik Replicate & Qlik Compose for data integration. 
• Strong SQL expertise, with experience in writing and optimizing queries for Redshift. 
• Experience working with Bronze, Silver, and Gold layer architectures. 
• Knowledge of Change Data Capture (CDC) pipelines from multiple sources. 
• Experience working with AWS S3 Data Lakes. 
• Experience working with Apache Parquet for data storage optimization. 
• Basic understanding of Python for automation and data processing. 
• Experience in cloud-based data architectures (AWS, Azure, GCP) is a plus. 
• Strong analytical and problem-solving skills. 
• Ability to work in a fast-paced, agile environment. 

Preferred Qualifications: 

• Experience in performance tuning and cost optimization in Redshift. 
• Familiarity with big data technologies such as Spark or Hadoop. 
• Understanding of data governance and security best practices. 
• Exposure to data visualization tools such as Qlik Sense, Tableau, or Power BI. 

We are looking to employ a driven and experienced area sales manager to increase sales within an assigned geographical area and guide a team of field sales representatives. The area sales manager's responsibilities include delivering presentations to potential and existing customers, evaluating the performance of the sales team, and preparing concise sales reports

Stalwart Themius is hiring a Backend Developer - Node.js to join our client's team in Mumbai. The selected candidate will work on cutting-edge technology and product. He/She will gain experience and will stand an opportunity to be hands-on, collaborative and fluent in the latest server-side, web capabilities and technologies. This will include all aspects of the creative process from conceptualizing to completion including design, development, presenting ideas, and working with the leadership team.

• Role: NodeJS Developer
• Experience: 1 - 4 years
• Location: Airoli, Navi Mumbai

Responsibilities:

• Use your knowledge about High Availability, Load Balancing, Scalability, and Distributed Computing in order to design database architectures and data structures that can grow with our business 
• Collaborate with Product, Engineering and Business teams to drive the architecture, design, development and deployment of our analytics and a reporting portal
• Identify and address architecture challenges to ensure a robust, safe, securely accessible, highly available and highly scalable product that meets or exceeds customer and end-user expectations
• Collaborate with leadership and technology teams on creative concepts, and then launch and shape the required design components for each presentation and/ or production
• Able to work closely / collaborate with multiple product development teams including software developers

Primary Skills:

• 1-4 years of experience with Node.JS
• 1-4 years of experience with NoSQL (MongoDB)
• Experience with Agile Software Development

Preferred Skills:

• Knowledge of Software Deployment
• Knowledge of IT Security for Web Services
• Expert in using Revision Control Systems (Git)
• Must have outstanding communication and collaboration skills

Benefits:

• Competitive salary and benefits package.
• Opportunity to work with a growing company.
• Collaborative and supportive work environment.
• Opportunities for professional development.

What you need to have:

Skills sets required:

Roles and Responsibilities:

CTC:  INR 3 - 4 LPA

About the company:

We introduce ourselves as India's fastest growing platform exclusivelyfor manufacturing sector, focused on MSMEs in India and connecting the industry to the expert (consultant) and thus bridging the skill &experience deficit. The resolute initiative was taken by our founderDirector & CEO Mr Arjun N in 2016 (in cc) with a vision to strengthen
the back bone of Indian manufacturing sector. We are proud to have50k+ industries & 5k+ consultant registered with us today.

The market size is humongous and we intend to connect to each nook & cranny of India to address the need of the most inaccessible manufacturing organizations to capture a significant part of the potential market. Our head office is in Bangalore and we intend to open three regional offices this year in Chennai, NCR and Pune to cover the PAN India market.

Job brief

We are looking for a full stack developer to produce scalable software solutions. You’ll be part of a team that’s responsible for the full software development life cycle, from conception to deployment.

As a full stack developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility.

Responsibilities

• Work with development teams and product managers to ideate software solutions
• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation
• Work with data scientists and analysts to improve software

Requirements

• 3+ years of experience as a full stack developer
• Experience developing desktop and mobile applications
• Familiarity with common stacks
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Good communication
• Attention to detail
• Enthusiasm and aptitude to learn new technologies
• Team player
• Degree in Computer Science