Database Engineer Jobs

We are looking for a Data Processing Engineer to join our team. This part-time position is ideal for fresh graduates who have completed their 12th grade, providing an opportunity to start a career in data management from the comfort of your home.Key Responsibilities:- Data Validation: Review and verify data to identify and correct any inconsistencies or inaccuracies, maintaining data integrity.- Data Analysis: Assist in analyzing data sets to derive insights, helping the team make informed decisions based on the findings.- Collaborate with Team Members: Work closely with colleagues to share findings and improve data processing methods, contributing to overall team success.

Principal Software Engineer - AI/CloudExperience: 9-13 YearsLocation: ChennaiHiring Company: Talent Zone ConsultantJob Summary:Talent Zone Consultant is looking for an experienced Principal Software Engineer - AI/Cloud to lead the design and development of highly scalable, cloud-native software solutions. The ideal candidate will have strong expertise in distributed systems, microservices, cloud platforms, and emerging GenAI technologies.Key Responsibilities:Lead the architecture and development of scalable, high-performance cloud-native applications.Design distributed systems and microservices using Java, Go, or Python.Drive cloud adoption and architecture across AWS, Azure, or GCP.Build and manage containerized applications using Kubernetes and Docker.Develop and integrate GenAI/LLM-based solutions into enterprise applications.Define technical architecture, conduct design reviews, and establish engineering best practices.Mentor senior engineers and provide technical leadership across development teams.Collaborate with product, engineering, DevOps, and architecture teams.

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.

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

As a Data Processing Engineer, you will play a vital role in managing and organizing data efficiently. This part-time position primarily involves working from home and is suitable for freshers who have completed their 12th grade. Your key responsibilities will include:1. Data Entry: Accurately inputting data into databases and systems, ensuring that all information is correct and up-to-date.2. Data Cleaning: Reviewing and correcting data to eliminate errors, duplicates, or inconsistencies and maintaining the quality of information.3. Data Analysis: Analyzing datasets to identify trends and insights that can help support decision-making within the company.4. Collaboration: Working with team members to share findings and support projects related to data processing and management.5. Reporting: Creating reports that summarize data findings and presenting them in a clear and understandable manner.To succeed in this role, you should have strong attention to detail and the ability to work independently. Basic computer skills, including familiarity with Microsoft Excel and data entry software, are essential. Good communication skills are vital for effectively sharing insights with the team. A willingness to learn and adapt to new tools and technologies will also be important for your success. This position offers a great opportunity for those looking to start their career in data management and processing.

We are looking for a part-time Data Processing Engineer to join our team. This role is perfect for recent graduates or those with a background in data management. The position allows you to work from home, providing flexibility while you gain valuable experience in the field. Key responsibilities include:1. Data Entry: Accurately input and update data in various systems to maintain up-to-date records. This involves checking for errors and ensuring that all information is precise.2. Data Cleaning: Identify and correct inaccuracies in the existing data sets. This ensures that our data is reliable and ready for analysis.3. Data Analysis Support: Assist in processing and analyzing data to help our team improve workflows and make informed decisions. You will work with various tools and software to help interpret the data.4. Report Generation: Create simple reports based on the processed data to provide insights and support team projects. This may include summarizing findings and presenting them clearly.Required skills and expectations include:- Basic knowledge of data processing and management concepts.- Strong attention to detail for ensuring data accuracy and reliability.- Proficiency in using computer systems and software, particularly spreadsheets.- Good communication skills to work effectively with the team and convey findings.- A proactive attitude and willingness to learn about data analysis and processing techniques. Ideal candidates are self-motivated individuals eager to grow their skills in data handling and processing.

We are looking for a motivated Data Processing Engineer to join our team. This part-time position is ideal for freshers who are eager to learn and grow in a data-driven environment. The role involves processing and managing data from various sources while ensuring accuracy and efficiency.Key Responsibilities:1. Data Input and Management: Accurately input and organize data using spreadsheets and databases, ensuring that all information is up-to-date and correctly formatted.2. Data Quality Assurance: Review and verify the integrity of data to identify errors or inconsistencies. This includes cross-referencing data with original sources to maintain high standards of quality.3. Collaborative Support: Work closely with team members to assist in data-related projects, understanding specific requirements and providing necessary updates.4. Learning and Development: Participate in training sessions and stay informed about data processing tools and technologies to enhance your skills and improve work efficiency.

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.

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.