
Thomasmount Consulting
https://thomasmount.comAbout
Jobs at Thomasmount Consulting
Job Summary
We are looking for a skilled Data Engineer with 4+ years of experience in Python, SQL, and Power BI. The candidate will be responsible for building and maintaining data pipelines, transforming and analyzing data, and developing dashboards to support business decision-making.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT data pipelines.
- Extract, transform, and load data from multiple sources using Python and SQL.
- Develop and optimize complex SQL queries, stored procedures, and database objects.
- Create interactive dashboards and reports using Power BI.
- Ensure data quality, integrity, and consistency across systems.
- Collaborate with business stakeholders to gather reporting and analytics requirements.
- Monitor and troubleshoot data pipeline and reporting issues.
- Perform data validation, testing, and performance tuning.
- Document data processes, workflows, and technical specifications.
Required Skills
- 4+ years of experience in Data Engineering or related roles.
- Strong proficiency in Python (Pandas, NumPy, ETL scripting).
- Strong hands-on experience with SQL (query optimization, joins, stored procedures).
- Experience with Power BI (DAX, Power Query, dashboard development).
- Knowledge of ETL/ELT processes and data warehousing concepts.
- Experience working with relational databases such as SQL Server, PostgreSQL, MySQL, or Oracle.
- Understanding of data modeling and database design principles.
- Experience with version control tools such as Git.
Preferred Skills
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of data integration tools like Azure Data Factory, SSIS, Airflow, or Informatica.
- Familiarity with Databricks, Spark, or big data technologies.
- Understanding of CI/CD and DevOps practices.
- Experience with REST APIs and data integration.

Role Overview
We are looking for a passionate Junior Full Stack Developer with strong expertise in React.js and SharePoint development. The ideal candidate should have hands-on experience building modern web applications, customizing SharePoint solutions, and working with Microsoft technologies.
Azure cloud exposure is preferred as an added advantage.
Key Responsibilities
- Develop modern, responsive, and scalable web applications using React.js
- Build and customize SharePoint Online solutions and components
- Develop reusable frontend components and integrate APIs
- Work with SharePoint Framework (SPFx), lists, libraries, forms, and workflows
- Collaborate with backend developers, QA teams, UI/UX designers, and stakeholders
- Write clean, maintainable, and efficient code following best practices
- Troubleshoot and resolve application issues and performance bottlenecks
- Participate in Agile/Scrum ceremonies and development activities
- Support deployment and maintenance activities
Required Skills
Primary Skills
- Strong hands-on experience in:
- React.js
- JavaScript (ES6+)
- HTML5
- CSS3
- SharePoint Online
- SharePoint Framework (SPFx)
SharePoint Skills
- Experience with:
- SharePoint Lists & Libraries
- Power Automate workflows
- SharePoint customization and administration
- Microsoft 365 ecosystem
Additional/Preferred Skills
- Exposure to Microsoft Azure services
- Basic knowledge of:
- Azure App Services
- Azure Active Directory (Entra ID)
- Azure Functions
- Knowledge of REST APIs and API integration
- Familiarity with Git/version control systems
Preferred Qualifications
- 1–3 years of relevant experience in React and SharePoint development
- Understanding of Agile development methodologies
- Good problem-solving and debugging skills
- Strong communication and collaboration abilities
- Knowledge of Node.js or .NET is an added advantage
Nice to Have
- Experience with TypeScript
- Knowledge of CI/CD pipelines
- Microsoft certifications related to SharePoint or Azure
Job Summary
We are seeking a motivated and detail-oriented Junior Azure Cloud Engineer with 2–3 years of experience in Microsoft cloud technologies. The ideal candidate will have hands-on experience in Microsoft Azure infrastructure services and Microsoft 365 administration. This role involves supporting cloud environments, managing identity and security, and assisting in cloud-based deployments and operations.
Key Responsibilities
- Manage and support Azure Entra ID (Azure Active Directory) including user management, group policies, conditional access, and identity governance.
- Configure and maintain Azure networking components such as Virtual Networks (VNet), Subnets, NSGs, VPN, and Load Balancers.
- Deploy and manage Azure Compute services including Virtual Machines, App Services, and related infrastructure.
- Administer Azure Storage services (Blob, File Shares, Backup, etc.).
- Monitor and maintain Microsoft 365 environments including Exchange Online, Teams, and SharePoint Online.
- Administer SharePoint Online sites, permissions, and configurations.
- Manage and monitor security policies using Microsoft 365 Security Center.
- Support cloud governance, compliance, and security best practices.
- Troubleshoot cloud infrastructure and M365-related issues.
- Collaborate with internal teams to support cloud migration and deployment activities.
- Document configurations, processes, and standard operating procedures.
Required Skills & Qualifications
- 2–3 years of hands-on experience in Microsoft Azure cloud services.
- Strong experience with Azure Entra ID, Azure Networking, Azure Storage, and Azure Compute services.
- Experience in Microsoft 365 Administration.
- Hands-on experience in SharePoint Online administration.
- Experience working with Microsoft 365 Security Center.
- Good understanding of cloud security, identity management, and governance.
- Strong troubleshooting and problem-solving skills.
- Good communication and documentation skills.
Job Summary
We are seeking a skilled and detail-oriented Certinia Financial Management Cloud Consultant with strong accounting and finance domain expertise. The ideal candidate should have hands-on experience in Certinia (FinancialForce) Financial Management Cloud and exposure to finance operations such as AP, AR, GL, billing, reconciliations, and financial reporting.
The candidate should possess a good understanding of ERP finance processes and experience working on the Salesforce platform.
Key Responsibilities
- Work on Certinia Financial Management Cloud (FinancialForce) modules
- Handle finance and accounting operations including:
- Accounts Payable (AP)
- Accounts Receivable (AR)
- General Ledger (GL)
- Billing & Invoicing
- Revenue Recognition
- Bank Reconciliation
- Financial Reporting
- Month-end and Year-end closing activities
- Support finance stakeholders in resolving accounting and system issues
- Collaborate with business users and cross-functional teams
- Perform reconciliation and audit support activities
- Work with Salesforce-based approvals and workflows
- Assist in ERP implementation, support, and enhancement activities
- Ensure compliance with accounting and taxation standards
Required Skills
- 4+ years of experience in finance/accounting operations
- Hands-on experience in:
- Certinia Financial Management Cloud / FinancialForce
- Salesforce Platform
- ERP Finance systems
- Strong knowledge of:
- AP
- AR
- GL
- Billing
- Financial reconciliation
- Accounting processes
- Good understanding of finance operations and reporting
- Experience in Excel and reporting tools
- Strong communication and stakeholder management skills
We are looking for an experienced Data Engineer with 4+ years of expertise in Python development, ETL processes, and Power BI reporting. The ideal candidate will be responsible for designing scalable data pipelines, optimizing data workflows, and delivering business intelligence solutions for data-driven decision-making.
Key Responsibilities
- Design, develop, and maintain robust ETL/data integration pipelines.
- Develop scalable data processing solutions using Python.
- Create and optimize complex SQL queries, stored procedures, and database solutions.
- Build interactive dashboards, reports, and data visualizations using Power BI.
- Integrate data from multiple sources including APIs, databases, and cloud platforms.
- Perform data cleansing, transformation, and validation to ensure data accuracy.
- Work closely with business and technical teams to gather reporting and analytics requirements.
- Monitor, troubleshoot, and improve data pipeline performance.
- Support data warehousing, reporting, and analytics initiatives.
- Mentor junior team members and contribute to best practices in data engineering.
Required Skills
- 4+ years of experience in Data Engineering or related roles.
- Strong hands-on experience in Python scripting and automation.
- Good experience with ETL processes and data pipeline development.
- Strong SQL skills with experience in relational databases.
- Hands-on experience in Power BI dashboard and report creation.
- Knowledge of data modeling and data warehousing concepts.
- Experience with APIs and data integration techniques.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.

GCP DevOps Engineer – Job Description (2+ Years Experience)
We are looking for a motivated and skilled GCP DevOps Engineer with 2+ years of hands-on experience in cloud infrastructure, CI/CD pipelines, automation, and deployment processes on Google Cloud Platform (GCP). The ideal candidate should have experience in cloud operations, monitoring, containerization, and DevOps best practices.
Key Responsibilities
- Design, implement, and maintain CI/CD pipelines for application deployment.
- Manage and monitor cloud infrastructure on Google Cloud Platform (GCP).
- Work with development and QA teams to automate build, deployment, and release processes.
- Handle infrastructure provisioning using Infrastructure as Code (IaC) tools like Terraform.
- Manage containerized applications using Docker and Kubernetes (GKE).
- Monitor system performance, troubleshoot issues, and ensure high availability.
- Implement security best practices, backup strategies, and access management.
- Support production deployments and resolve environment-related issues.
- Maintain documentation for infrastructure, deployment, and operational procedures.
Required Skills
- 2+ years of experience in DevOps or Cloud Engineering.
- Hands-on experience with Google Cloud Platform (GCP).
- Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or Cloud Build.
- Knowledge of Docker and Kubernetes (GKE).
- Experience with Terraform or other IaC tools.
- Strong understanding of Linux administration and shell scripting.
- Experience with version control tools like Git.
- Knowledge of monitoring tools such as Prometheus, Grafana, or Cloud Monitoring.
- Understanding of networking, security, and cloud architecture concepts.
Good to Have
- Experience with Ansible or other configuration management tools.
- Knowledge of Python, Bash, or scripting languages.
- GCP Certifications are an added advantage.
- Exposure to Agile/Scrum environments.
Job Summary
We are looking for a skilled QA Engineer with strong experience in mobile application testing and automation. The ideal candidate should have hands-on expertise in mobile automation frameworks using Appium, Selenium, and Java, along with experience in functional and regression testing for Android and iOS applications.
Key Responsibilities
- Design, develop, and execute automated test scripts for mobile applications.
- Perform functional, regression, integration, and end-to-end testing.
- Build and maintain automation frameworks using Appium, Selenium WebDriver, and Java.
- Test Android and iOS mobile applications across multiple devices/platforms.
- Collaborate with developers, product managers, and QA teams to understand requirements and ensure quality deliverables.
- Identify, log, track, and verify defects using bug tracking tools.
- Participate in Agile/Scrum ceremonies and contribute to sprint planning and QA estimations.
- Integrate automated test suites into CI/CD pipelines.
- Prepare test plans, test cases, and testing reports.
Required Skills
- 4+ years of experience in Software Testing / QA Automation.
- Strong experience in Mobile Application Testing.
- Hands-on experience with:
- Appium
- Selenium WebDriver
- Java
- Experience in Android and iOS testing.
- Strong understanding of automation frameworks and test design principles.
- Experience with TestNG / JUnit.
- Knowledge of API testing tools such as Postman or REST Assured.
- Familiarity with defect tracking tools like JIRA.
- Understanding of CI/CD tools such as Jenkins.
- Good analytical and debugging skills.
Preferred Skills
- Experience in BDD frameworks like Cucumber.
- Exposure to Git, Maven, and version control systems.
- Knowledge of performance or security testing is an added advantage.
Educational Qualification
- Bachelor’s degree in Computer Science, Information Technology, or related field.
Job Summary
We are seeking a skilled Data Engineer with 4+ years of experience in building scalable data pipelines and working with modern data platforms. The ideal candidate should have strong expertise in Python, SQL, and cloud-based data solutions, with hands-on experience in ETL/ELT processes and data warehousing.
Key Responsibilities
- Design, build, and maintain scalable data pipelines using Python
- Develop and optimize ETL/ELT workflows for data ingestion and transformation
- Work with structured and unstructured data from multiple sources
- Build and manage data warehouses/data lakes
- Perform data validation, cleansing, and quality checks
- Optimize SQL queries and improve data processing performance
- Collaborate with data analysts, data scientists, and business teams
- Implement data governance, security, and best practices
- Monitor pipelines and troubleshoot production issues
Required Skills
- Strong programming experience in Python (Pandas, NumPy, PySpark preferred)
- Excellent SQL skills (joins, window functions, performance tuning)
- Experience with ETL tools like Informatica, Talend, or DBT
- Hands-on experience with cloud platforms (Azure / AWS / GCP)
- Experience in data warehousing solutions like Snowflake, Redshift, BigQuery
- Knowledge of workflow orchestration tools like Apache Airflow
- Familiarity with version control tools like Git
Preferred Skills
- Experience with Big Data technologies (Spark, Hadoop)
- Knowledge of streaming tools like Kafka
- Exposure to CI/CD pipelines and DevOps practices
- Experience in data modeling (Star/Snowflake schema)
- Understanding of APIs and data integration
Job Summary:
We are looking for an enthusiastic and motivated Recruiter (Fresher) to join our HR team. The ideal candidate will be responsible for supporting the end-to-end recruitment process, sourcing candidates, and coordinating interviews. This role is perfect for someone starting their career in Human Resources and talent acquisition.
Key Responsibilities:
- Assist in sourcing candidates through job portals, social media, and other platforms
- Screen resumes and shortlist candidates based on job requirements
- Schedule and coordinate interviews between candidates and hiring managers
- Conduct initial HR screening calls
- Maintain and update candidate databases and recruitment trackers
- Post job openings on various job boards and company career pages
- Follow up with candidates regarding interview status and feedback
- Support onboarding activities and documentation
Required Skills & Qualifications:
- Bachelor’s degree in Human Resources, Business Administration, or related field
- Strong communication and interpersonal skills
- Basic understanding of recruitment processes
- Familiarity with job portals (like Naukri, LinkedIn) is a plus
- Good organizational and time management skills
- Ability to multitask and work in a fast-paced environment
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Job Description
We are looking for a Junior Python Developer with knowledge of Python, Pandas, SQL, and Machine Learning concepts. The candidate will assist in developing data-driven solutions, performing data analysis, and supporting machine learning model development.
Key Responsibilities
- Write and maintain programs using Python for data processing and analysis.
- Work with Pandas and NumPy for data cleaning and data manipulation.
- Write SQL queries to extract and analyze data from databases.
- Assist in building and testing machine learning models.
- Perform data preprocessing and feature engineering.
- Collaborate with senior developers and data scientists on projects.
- Document code and maintain technical documentation.
Required Skills
- 0–2 years of experience or strong academic projects in Python
- Knowledge of Pandas and NumPy
- Basic understanding of SQL and relational databases
- Understanding of machine learning concepts
- Familiarity with Scikit-learn or TensorFlow (basic level)
- Good problem-solving and analytical skills
Good to Have
- Knowledge of data visualization tools (Matplotlib / Seaborn)
- Exposure to Jupyter Notebook
- Basic understanding of Git version control
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