Data Engineer Jobs

We are looking for an Instrument & Control Engineer who will be responsible for designing, developing, and maintaining equipment used for controlling and monitoring engineering systems. The ideal candidate will have a strong background in instrumentation and control systems, with 1 to 7 years of experience.**Key Responsibilities:**- **Design Control Systems:** Develop and design control systems for various engineering processes to ensure efficiency and compliance with industry standards.- **Install and Calibrate Instruments:** Oversee the installation and calibration of instrumentation equipment, ensuring everything functions correctly according to specifications.- **Troubleshooting:** Identify and resolve issues in control systems and instrumentation to maintain operational efficiency and minimize downtime.- **Documentation and Reporting:** Maintain accurate documentation of control systems, including design changes, procedures, and performance reports, facilitating clear communication within the team.- **Collaboration:** Work closely with engineers and technicians across departments to implement control strategies and improve system performance.**Required Skills and Expectations:**Candidates should possess a diploma in engineering, preferably in Instrumentation or related fields, with a minimum of 1 year of relevant experience. Strong analytical and problem-solving skills are essential, along with the ability to work independently and in a team. Familiarity with instrumentation software and tools is crucial. The candidate should also have excellent communication skills to collaborate effectively with team members and other departments. A proactive attitude towards troubleshooting and a keen willingness to learn new technologies are highly valued.

We are seeking a motivated and enthusiastic Data Processing Engineer to join our team. This role is perfect for recent graduates or individuals looking to start their career in data processing.As a Data Processing Engineer, you will be responsible for handling and organizing data efficiently. Your key responsibilities will include:- **Data Entry**: Accurately input data into our systems while ensuring all information is correct and up to date.- **Data Quality Assurance**: Review and validate data to identify any errors or inconsistencies, and fix them promptly.- **Data Maintenance**: Regularly update and maintain databases to keep them organized and accessible for team members.- **Reporting**: Generate basic reports from the data you process, helping the team make informed decisions.To be successful in this role, you should possess strong attention to detail and the ability to work independently from home. You must be comfortable using computers and familiar with basic data processing tools. Strong communication skills are essential to collaborate effectively with team members. Having a proactive approach to problem-solving will also be important as you work through data challenges.We welcome applications from females who have completed their 10th grade education and are eager to begin a full-time position in data processing. This is a fantastic opportunity to learn, grow, and launch your career in the field of data.

We are looking fo AI/ML Engineer with 5+ year experience in Coimbatore.Skills Set:Strong Python (Pandas, NumPy, Scikit-learn)-Deep Learning using TensorFlow or PyTorch-Expertise in time-series modeling and feature engineering-Experience with ETL/ELT pipelines, Docker, Git, CI/CD-Cloud exposure (Azure/AWS) and hybrid deployments-API development (FastAPI preferred)

As a Geologist, you will play a key role in studying the Earth's structure and processes. Your insights will help in various sectors like natural resource exploration and environmental management. We are looking for someone with 2 to 8 years of relevant experience.**Key Responsibilities:**- **Conduct Field Studies:** You will gather geological samples and data from various locations, helping to analyze soil, rock, and mineral compositions.- **Analyze Data:** You'll interpret geological data using various software and techniques to understand the Earths characteristics and identify natural resources.- **Prepare Reports:** Document your findings and create comprehensive reports that explain your studies and recommendations for stakeholders.- **Collaborate with Teams:** Work closely with other professionals, such as engineers and environmental scientists, ensuring safe and informed project practices.- **Stay Updated:** Keep abreast of the latest developments and technologies in geology to enhance our practices and efficiencies.**Required Skills and Expectations:**You should have a degree in Geology or a related field. Strong analytical skills are essential, allowing you to interpret complex geological data effectively. Proficiency in geological software and tools is expected. You must be detail-oriented and able to work independently as well as in a team setting. Good communication skills are necessary to convey technical information clearly to various stakeholders. A commitment to safety and environmental sustainability is also crucial in this role.

We are looking for a motivated Data Engineer to join our team. This part-time position allows you to work from home and is suitable for individuals with little to no experience. The ideal candidate will help us manage and process data to ensure it meets the needs of the business.**Key Responsibilities:**- **Data Collection:** Gather data from various sources to prepare for analysis. Its important to ensure the data is accurate and up-to-date.- **Data Cleaning:** Clean and organize raw data to make it usable. This involves removing errors and inconsistencies, which is crucial for reliable analysis.- **Data Storage:** Help in storing data in databases or cloud storage systems. Proper organization helps in easy access and retrieval of data when needed.- **Collaboration:** Work with other team members to understand their data needs. Communication is key to delivering the right data for their projects.- **Support:** Assist in monitoring data systems and providing technical support. Being proactive in identifying issues helps keep the data flow smooth.**Required Skills and Expectations:**Candidates should have a basic understanding of data management principles. Familiarity with data cleaning tools and database management systems is a plus. The ability to learn new software quickly and a strong attention to detail are essential. Good communication skills are important for working with teammates and understanding project requirements. We encourage fresh graduates and those with relevant qualifications to apply.

As a Senior Biomedical Engineer in Australia, you will play a key role in developing and testing medical equipment and devices. Your responsibilities will include designing and implementing new technologies, conducting experiments and analysis to improve existing products, and ensuring regulatory compliance.Key responsibilities:- Designing and developing medical devices: You will be responsible for creating new medical equipment and devices that meet industry standards and regulations.- Testing and analysis: You will conduct experiments and tests to verify the functionality and safety of medical devices.- Regulatory compliance: You will ensure that all products meet the necessary regulatory requirements for safety and effectiveness.Required skills and expectations:- A graduate degree in Biomedical Engineering or a related field- 3-9 years of experience in the medical device industry- Strong technical skills in designing and testing medical equipment- Knowledge of regulatory requirements for medical devices- Excellent problem-solving abilities and attention to detail.

As a Data Center Engineer, you will play a vital role in managing and maintaining our data center operations. This is a part-time position that allows you to work from home, providing flexibility while you kickstart your career in this exciting field.Key Responsibilities:1. **System Monitoring**: You will monitor the performance of servers and networks to ensure they are running efficiently. This involves checking for issues and reporting any findings to the team.2. **Data Management**: You will assist in organizing and backing up data to ensure its safety and accessibility. Proper data management is crucial for smooth operations.3. **Troubleshooting**: When issues arise, you will help diagnose and resolve technical problems. Your ability to quickly identify and fix issues will be essential to minimize downtime.4. **Documentation**: You will maintain proper records of data center operations, including system configurations and incidents. This helps in keeping track of changes and learning from past experiences.5. **Collaboration**: You will work closely with other team members, ensuring that tasks are completed efficiently and that knowledge is shared across the team.Required Skills and Expectations: You should have a basic understanding of computer systems and networks. Strong problem-solving abilities and attention to detail are essential. Being a quick learner and having good communication skills will also help you succeed in this role.

We are looking for Senior Data Engineer (Snowflake / dbt / Dagster / AI-Assisted Development) with 5+ Year Experience in Chennai.Design and optimize data pipelines from SQL Server to Snowflake Work with healthcare data formats including EDI 835 / 837 if applicable Use AI tools (LLMs, code assistants, automation agents) to improve engineeringproductivity and quality

We are looking Data Engineer with 1 to 3 years experience in Chennai.Immediate joiners preferred

Job Location: NashikPosition: Sports Data AnalystNumber of Vacancies: 150180Eligibility:Qualification: Any Graduate (Completed), especially BCA / BCS / BCom / Diploma / DegreeAge Limit: 22 to 26 yearsBasic computer knowledgeGender: Male( Priority ) / FemaleExperience: FreshersSalary Package: 1.44 LPA 3.5 LPA (Basically 12K starting salary )Job Responsibilities:Analyze sports gameplay videos using our advanced software toolsAnnotate key events, player movements, and in-game strategiesProvide accurate and detailed video analysis reports

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.