Database Engineer Jobs

We are looking for a passionate Machine Learning Engineer to join our team in Bangalore. This is an excellent opportunity for fresh graduates eager to launch their careers in machine learning and data science.Key Responsibilities:1. **Model Development**: Design and build machine learning models to solve complex problems. You will apply algorithms to data sets and work on optimizing model performance.2. **Data Analysis**: Analyze large volumes of data to derive insights and trends. You will be responsible for cleaning, processing, and transforming data to make it suitable for modeling.3. **Collaboration**: Work closely with data scientists, software engineers, and other stakeholders. Your role will involve brainstorming sessions and integrating machine learning solutions within existing systems.4. **Continuous Learning**: Stay updated with the latest trends and techniques in machine learning. You will be encouraged to learn and implement new algorithms and tools as technology evolves.Required Skills and Expectations:Candidates should hold a graduate degree in a relevant field and be keen to explore the world of machine learning. Proficiency in programming languages such as Python or R is essential. A good understanding of algorithms, statistics, and linear algebra is expected. Strong problem-solving skills and the ability to work independently and collaboratively in a team are important. Ideal candidates will demonstrate a willingness to learn and adapt in a fast-paced environment. This position is exclusively open to female candidates.

Job Title: Technical EngineerJob OverviewWe are seeking a highly analytical and solution-oriented Technical Engineer to oversee our technical operations, optimize production processes, and provide engineering support across departments. In this role, you will be responsible for troubleshooting complex machinery/system issues, supervising engineering projects, ensuring compliance with quality standards, and occasionally assisting clients with advanced technical queries.The ideal candidate possesses strong engineering fundamentals, hands-on diagnostic skills, and the ability to collaborate effectively with both on-ground production operators and senior management.Key Responsibilities1. Process Optimization & System TroubleshootingAnalyze existing engineering workflows, plant layouts, and machinery performance to identify bottlenecks and implement continuous improvements.Diagnose, troubleshoot, and resolve complex mechanical, electrical, or software-related faults in production equipment.Develop and implement standard operating procedures (SOPs) for machine usage, preventative maintenance, and safety protocols.2. Project Engineering & Design SupportCollaborate with design and R&D teams to translate blueprints, CAD models, and technical specifications into physical components or production runs.Oversee the installation, testing, and commissioning of new machinery, automated lines, or control systems.Manage technical documentation, including engineering drawings, component bills of materials (BOM), and validation reports.3. Quality Assurance & ComplianceMonitor production outputs to ensure compliance with company quality standards and international benchmarks (such as ISO standards).Conduct root-cause analysis (RCA) on product defects, material failures, or operational downtime, and deploy corrective actions.4. Technical Support & LiaisonProvide high-level technical guidance to production supervisors, machine operators, and maintenance technicians.Assist the sales or customer service teams by handling advanced technical queries from corporate clients, or joining on-site client consultations when required.

Candidate should have experience in Dot Net , power automate, AI and data analytics and predictive analytics experience

1. Install, configure, and maintain operating systems, hardware, software, and network devices to ensure seamless operation of IT infrastructure.2. Oversee the companys network infrastructure, ensuring its reliability, performance, and security across different locations.3. Administer and maintain company servers (both on-premises and cloud-based), ensuring high availability, optimal performance, and efficient resource utilization.4. Ensure the security and integrity of IT systems by implementing robust security protocols, firewalls, and encryption methods to protect sensitive data and intellectual property.5. Manage cloud-based systems, including virtual machines, databases, and storage services (e.g., AWS, Azure, Google Cloud), ensuring cost-effective and secure operations.6. Install, configure, and maintain software applications critical for the companys operations (e.g., ERP systems, collaboration tools, CRM, and business applications).7. Ensure regular data backups are performed and stored securely, both on-site and off-site, with appropriate disaster recovery plans in place.8. Implement and manage user access controls, ensuring that appropriate permissions are granted to employees based on job roles.9. Continuously monitor system and network performance to identify potential issues before they impact business operations.10. Develop and implement automation scripts (using PowerShell, Python, Bash, etc.) to streamline repetitive tasks and enhance system management efficiency.11. Provide advanced technical support for resolving hardware, software, and networking issues raised by end-users across different geographies.12. Work closely with other departments (e.g., IT security, software development, database administration) to design and implement integrated IT solutions.13. Evaluate and recommend improvements for current IT systems, keeping the companys technology up-to-date with industry standards.

Role: Quality Assurance Engineer (Data & API)SUMMARYThe Quality Assurance Engineer partners with Engineering, Data, and Developmentteams to ensure client requirements are implemented correctly and reliably acrosshighvolume data pipelines. This role reviews requirements, designs test strategies, andexecutes automated and manual validation-emphasizing shiftleft practices andrepeatable automation. Candidates are former developers or Software DevelopmentEngineer in Test (SDET) who can effectively test large datasets, craft complex SQL fordata comparisons, and collaborate within a single, shared sprint cadence.ESSENTIAL DUTIES AND RESPONSIBILITIES Configure, implement, and maintain automated testing frameworks for data and APIvalidation (DBT tests, Pytest, SQL validators). Translate JIRA user stories and acceptance criteria into comprehensive test plans,scenarios, and data validation scripts. Ensure requirements traceability by mapping test cases and validation scriptsdirectly to client requirements and acceptance criteria, maintaining cleardocumentation throughout the lifecycle. Design and execute unit, integration, smoke, regression, and endtoend tests alignedto the recommended QA & automation framework. Validate large datasets for completeness, accuracy, timeliness, lineage, and schemaconformance, author complex SQL for data comparison. Coordinate with Engineering to enable shiftleft testing - QA participates ingrooming, planning, and daily standups; quality is a shared responsibility. Assist with user acceptance testing (UAT) and production validation, includingpostrelease smoke testing and regression cycles. Analyze test outputs, identify defects, document issues, and drive rootcauseanalysis; champion environment parity (VAL mirrors PROD). Contribute to release governance: freeze windows, QA gates, rollback plans, andrelease logs; ensure test evidence is captured. Continuously improve tools, templates, and processes; propose JIRA automation toautocreate QA stories from engineering stories. Develop domain knowledge of client data products, pipelines, integrations, and KPIs. Maintain comprehensive test documentation, including test cases, scripts, andresults, to support audits and compliance. Conduct performance and security testing as required to ensure robust, scalable,and secure solutions. Advocate for user experience and usability in all testing activities.AGILE & COLLABORATION EXPECTATIONS Active participant in Agile ceremonies (grooming, planning, standups, demos, retros)within a single, shared sprint cadence. Story readiness includes defined test criteria and data availability; QA estimatestracked alongside development. Promote predictable velocity by integrating automated tests into CI; definition ofdone includes -tested and validated.- Stay current with emerging QA tools, technologies, and best practices; proactivelyrecommend improvements to processes and frameworks.REQUIRED QUALIFICATIONS Former software developer or SDET with handson coding experience (Pythonpreferred). Expertise in SQL and relational databases; able to design complex validationqueries for large datasets. Demonstrated experience testing data pipelines, ETL/ELT workflows, and APIs inhighvolume environments. Practical knowledge of Airflow (or similar orchestration), DBT, and CI systems;experience validating DAG executions. Proficiency with automated testing tools (Selenium/Cucumber/Playwright for UIwhere applicable; Pytest for services; DBT for data). Proficiency with version control systems (e.g., Git) and defect tracking tools (e.g.,Jira, Azure DevOps). Experience with JIRA and Agile development methodology; comfortable with sharedsprint delivery. Strong critical thinking; challenges ambiguous requirements and drives clarity inacceptance criteria. Excellent communication skills; able to partner with Product Owners and Engineersto define testable stories.PREFERRED / DOMAIN EXPERIENCE Experience with liveevent data, broadcast schedules, media assets, or fanengagement platforms. Experience with bigdata validation (Snowflake/BigQuery/Redshift) and performancetesting of queries at scale. Familiarity with API contract testing, data lineage tools, and dataset comparisonframeworks. ISTQB or equivalent certification is a plus. Experience with cloud-based data platforms (AWS, Azure, GCP) is a plus.