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2 Job openings at Thought Frameworks
Thought Frameworks - Desktop Support Engineer - Windows/Mac OS

Bengaluru, Karnataka, India

0 - 1 years

Not disclosed

Remote

Full Time

Position : Desktop Support Engineer Experience : 0-1 Year Location : Bangalore Work Mode : Work From Office (WFO) - 5 Days Job Description We are seeking a highly motivated and enthusiastic Desktop Support Engineer to join our IT team in Bangalore. This is an excellent opportunity for an entry-level professional to gain hands-on experience in a dynamic IT environment. You will be responsible for providing essential technical support to our employees, ensuring the smooth operation of their software, and network connectivity. Your problem-solving skills and customer-centric approach will be crucial in maintaining a productive work environment. Key Responsibilities Install, configure, and troubleshoot operating systems (Windows, macOS) and software applications. Conduct software upgrades and repairs as needed. Respond promptly to user inquiries and technical issues, providing effective support either in person or remotely. Assist users with account setup, password resets, and managing access permissions. Diagnose and resolve software issues by meticulously performing tests and analyzing system logs. Identify and address network connectivity problems. Perform routine maintenance tasks, such as software updates, patches, and antivirus scans. Monitor system performance and proactively recommend optimizations. Configure and troubleshoot peripheral devices, including printers, scanners, and external storage devices. Install and maintain device drivers and updates. Maintain accurate records inventory. Document support tickets, resolutions, and procedures meticulously. Prepare reports on support activities and recurring issues. Assist in ensuring the security of end-user devices and data by implementing security policies, managing software updates, and controlling access. Provide basic training to end-users on how to effectively use software, and common applications. Develop user-friendly guides and documentation. Manage inventory, including procurement, asset tracking, and disposal. Demonstrate knowledge in Linux installation and general system maintenance. Possess knowledge in VPN setup and Tortoise SVN management. Required Qualifications A bachelor's degree in Computer Science, Information Technology, or a related field is preferred. Proven experience (0-1 year) in desktop support or related IT roles. Strong knowledge of desktop operating systems (Windows, macOS) and common software applications. Familiarity with basic network configurations. Excellent problem-solving and analytical skills. Customer service-oriented with the ability to provide a high level of end-user support. Soft Skills Strong communication and interpersonal skills, with the ability to explain technical concepts clearly. Patience and empathy when dealing with end-users, ensuring a positive support experience. Ability to work independently, manage tasks efficiently, and collaborate effectively within a team. Adaptability to new technologies and a dynamic IT environment, with a willingness to learn continuously (ref:hirist.tech) Show more Show less

Thought Frameworks - Technical Lead - Data Engineering

Gurugram, Haryana, India

5 years

Not disclosed

On-site

Full Time

Position : Tech Lead Data Engineer Exp : 8+ Yrs Job Location : Gurugram (3 days work from office) Mandate skill : Snowflake, Python, SQL, ETL/ELT with Asset Management experience (Finance domain) NP : with 15 - 20 days Job Description Key Responsibilities : Data Pipeline Development : Design, build, and maintain robust ELT (Extract, Load, Transform) pipelines using Snowflake to support data ingestion, integration, and transformation. Technical Leadership : Lead offshore development teams in implementing best practices for data engineering and ELT development. Data Integration : Collaborate with stakeholders to understand data sources and integration requirements, ensuring seamless connectivity and data flow between systems. Performance Optimization : Optimize data pipelines for performance, scalability, and reliability, including query tuning and resource management within Snowflake. Data Quality Assurance : Implement and monitor data validation procedures to ensure data accuracy and consistency across systems. Collaboration and Communication : Work closely with project managers, data architects, and business analysts to align project milestones and deliverables with business goals. Documentation : Create and maintain detailed documentation of data pipelines, data flow diagrams, and transformation logic. Issue Resolution : Troubleshoot and resolve issues related to data pipelines, including job failures and performance bottlenecks. Compliance and Security : Ensure all data management processes comply with data governance policies and regulatory requirements in financial services. Required Qualifications Bachelors degree in Computer Science, Information Technology, or a related field. 5+ years of experience in data engineering with a strong focus on ELT processes and data pipeline development. Hands-on experience with Snowflake cloud data platform, including data sharing, secure views, and performance optimization. Proficiency in SQL and familiarity with data integration and ETL/ELT tools. Experience managing and collaborating with offshore development teams. Strong problem-solving skills and the ability to work independently to meet deadlines. Excellent communication skills for effectively interacting with technical and non-technical stakeholders. Preferred Qualifications Certifications in Snowflake or relevant data technologies. Experience in the financial services sector with an understanding of data security and compliance requirements. Familiarity with cloud platforms (e.g., AWS, Azure) and data orchestration tools (e.g., Apache Airflow). Experience with scripting languages such as Python or JavaScript for data transformation. Knowledge of data visualization tools (e.g., Tableau, Power BI) (ref:hirist.tech) Show more Show less

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