52 Apache Spark jobs in Vietnam
Remote Geoscientist - Data Analysis
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Qualifications:
- Master's degree or Ph.D. in Geoscience, Geology, Geophysics, or a related field with a strong emphasis on data analysis.
- Minimum of 5 years of professional experience in geological data analysis, interpretation, and modeling.
- Proficiency in geological software packages (e.g., Petrel, Leapfrog, ArcGIS) and data analysis tools.
- Strong programming skills in Python or R for data manipulation and analysis.
- Excellent understanding of geological principles and exploration techniques.
- Proven ability to work independently and manage projects remotely.
- Exceptional analytical, problem-solving, and critical-thinking skills.
- Strong written and verbal communication skills for effective remote collaboration.
- Demonstrated experience in report writing and presentation of technical data.
Graduate Trainee - Data Analysis
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Apprenticeship in Data Analysis
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Graduate Trainee - Data Analysis
Posted 1 day ago
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Key Responsibilities:
- Assist in data collection, cleaning, and pre-processing from diverse sources.
- Perform exploratory data analysis (EDA) to identify trends and patterns.
- Support the development and implementation of data models and algorithms.
- Create data visualizations and dashboards to communicate findings.
- Contribute to the preparation of analytical reports and presentations.
- Collaborate with senior analysts and data scientists on ongoing projects.
- Learn and apply statistical techniques and machine learning concepts.
- Assist in maintaining data quality and integrity.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Economics, Mathematics, or a related quantitative field.
- Strong analytical and quantitative skills with a passion for data.
- Proficiency in at least one programming language (e.g., Python, R).
- Basic knowledge of SQL for database querying.
- Familiarity with data visualization tools is a plus.
- Excellent problem-solving abilities and attention to detail.
- Strong written and verbal communication skills in English.
- Ability to work independently and effectively in a remote team environment.
- Eagerness to learn and adapt to new technologies and methodologies.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Responsibilities:
- Assist in the collection and aggregation of data from various sources.
- Perform data cleaning and preprocessing to ensure data quality and accuracy.
- Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development and implementation of statistical models and algorithms.
- Create visualizations and reports to communicate findings to the team.
- Collaborate with senior analysts on data-related projects and initiatives.
- Learn and apply various data analysis tools and programming languages (e.g., Python, R, SQL).
- Participate in team meetings and contribute to problem-solving discussions.
- Adhere to data privacy and security protocols.
- Engage in continuous learning and professional development within the data analytics field.
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis methodologies.
- Familiarity with programming languages such as Python or R is a plus.
- Proficiency in Microsoft Excel for data manipulation and analysis.
- Eagerness to learn and adapt to new technologies and tools.
- Good communication and teamwork skills.
- Proactive attitude and attention to detail.
- Ability to work effectively within a team environment.
Location: Thai Nguyen, Thai Nguyen, VN
Senior Reservoir Engineer - Data Analysis
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- Analyze geological and engineering data (logs, core data, production data, seismic data) to characterize reservoirs.
- Develop and maintain dynamic reservoir simulation models using industry-standard software (e.g., Eclipse, Petrel RE).
- Perform reservoir performance analysis, including production forecasting, decline curve analysis, and material balance calculations.
- Identify and evaluate opportunities for enhanced oil recovery (EOR) and optimize injection strategies.
- Conduct uncertainty analysis and probabilistic assessment of reserves and resources.
- Collaborate with geologists, geophysicists, and production engineers to develop integrated field development plans.
- Monitor reservoir performance and recommend adjustments to production strategies to optimize recovery.
- Prepare technical reports, presentations, and economic evaluations for management and stakeholders.
- Stay abreast of new technologies and methodologies in reservoir engineering and data analytics.
- Mentor junior reservoir engineers and share knowledge across the team.
- Ensure data integrity and best practices in reservoir management.
- Master's or Ph.D. degree in Petroleum Engineering, Reservoir Engineering, or a related discipline.
- A minimum of 8 years of hands-on experience in reservoir engineering, with a strong focus on data analysis and numerical simulation.
- Proficiency in reservoir simulation software (e.g., Schlumberger's ECLIPSE, Halliburton's Landmark tools, CMG Suite).
- Expertise in data analysis techniques, statistical methods, and data visualization tools.
- Strong understanding of reservoir characterization, fluid flow mechanisms, and petrophysics.
- Excellent analytical, problem-solving, and critical thinking skills.
- Effective communication and presentation skills, with the ability to explain complex technical concepts.
- Proven ability to work independently and collaboratively in a remote team environment.
- Familiarity with unconventional reservoir analysis is a plus.
- Must maintain a reliable high-speed internet connection and a professional remote work setup.
Remote Graduate Trainee - Data Analysis
Posted 1 day ago
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Key Responsibilities:
- Assist in data collection, cleaning, and preparation from various sources.
- Perform data analysis using statistical methods and tools to identify trends and patterns.
- Create visualizations and reports to communicate findings to stakeholders.
- Support the development of dashboards and business intelligence tools.
- Collaborate with team members on data-related projects and initiatives.
- Learn and apply data modeling techniques.
- Contribute to the documentation of data processes and methodologies.
- Participate in team meetings and training sessions.
- Develop proficiency in data analysis software and programming languages.
- Assist in the validation and quality assurance of data.
Qualifications:
- Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Basic understanding of statistical concepts and data analysis techniques.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and/or programming languages (e.g., Python, R, SQL) is a plus.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage tasks effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A proactive approach to problem-solving and a keen interest in data.
- Must have a reliable internet connection and a suitable home office setup.
This is an excellent entry-level opportunity for aspiring data professionals to launch their careers in a supportive and remote-first environment.
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Junior Graduate Trainee - Data Analysis
Posted 1 day ago
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Responsibilities:
- Assist with data collection, cleaning, and transformation.
- Perform exploratory data analysis and identify trends.
- Create data visualizations and reports using BI tools.
- Support senior analysts in statistical modeling and hypothesis testing.
- Contribute to the documentation of data processes and findings.
- Collaborate with team members on data-related projects.
- Learn and apply new data analysis techniques and tools.
- Assist in identifying key performance indicators (KPIs) and metrics.
- Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages (Python, R) or SQL is highly desirable.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a remote team.
Lead Bioinformatician - Remote Genomic Data Analysis
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The ideal candidate possesses a Ph.D. or Master's degree in Bioinformatics, Computational Biology, Computer Science, or a related quantitative field, with a significant focus on genomics. You should have a proven track record of leading bioinformatics projects, managing research teams, and successfully analyzing complex biological data. Proficiency in programming languages such as Python, R, and Perl, along with experience using bioinformatics tools and databases (e.g., BLAST, Ensembl, IGV), is essential. Strong analytical, problem-solving, and communication skills are required to effectively collaborate with biologists and researchers in a remote setting. Experience with cloud computing platforms (AWS, GCP) and version control systems (Git) is highly advantageous.
Key Responsibilities:
- Lead the design, development, and maintenance of bioinformatics pipelines for next-generation sequencing (NGS) data analysis.
- Analyze large-scale genomic and transcriptomic datasets to identify genetic variations, gene expression patterns, and biological pathways.
- Develop and implement custom algorithms and statistical methods for biological data analysis.
- Collaborate closely with biologists, geneticists, and other researchers to define project goals and data analysis strategies.
- Interpret and present complex bioinformatics results to both technical and non-technical audiences.
- Manage bioinformatics projects, including resource allocation, timelines, and deliverables.
- Mentor and train junior bioinformaticians and research staff.
- Stay current with the latest advancements in bioinformatics tools, algorithms, and methodologies.
- Contribute to the writing of research grants, publications, and technical reports.
- Ensure data integrity, quality control, and adherence to best practices in computational biology.
- Troubleshoot and optimize existing bioinformatics workflows.
- Evaluate and implement new bioinformatics software and technologies.
Qualifications:
- Ph.D. or Master's degree in Bioinformatics, Computational Biology, Genetics, Computer Science, or a related quantitative field.
- Minimum of 5 years of hands-on experience in bioinformatics, with a strong emphasis on genomics and NGS data analysis.
- Demonstrated experience in leading research projects and/or managing teams.
- Proficiency in programming languages such as Python, R, Perl, or Java.
- Experience with bioinformatics tools, databases, and software packages relevant to genomics.
- Strong statistical analysis and data visualization skills.
- Familiarity with Linux/Unix operating systems and command-line interfaces.
- Excellent problem-solving, critical thinking, and communication skills.
- Ability to work effectively in a remote research environment.
- Experience with cloud computing platforms and Git is a plus.
Senior Agronomist - Remote Sensing & Data Analysis
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