Hire Vetted Data and Analytics Engineers at Upstaff - Page 5

- 6 years experience with Python - Proficiency with Python, SQL, ETL, AWS Services. - Experience with scraping data (tiki, lazada, shopee, aliexpress), Amazon Dropshipping Business projects, e-commerce platforms, platforms of digital data. - Location: Vietnam

- Senior Data Engineer with 10+ of experience specializing in designing, optimizing, and maintaining data infrastructures, data flow automation, and algorithm development. - Has expertise in Python, SQL/NoSQL, ETL processes, PySpark, Apache Airflow, and an array of AWS services, complemented by a strong foundation in database systems and cloud-based solutions. Proven capability in handling large-scale data analytics and processing with a focus on performance and cost efficiency in cloud environments. Proficient in developing robust ETL pipelines, performing data migrations, and optimizing complex queries and storage procedures, leveraging extensive experience across multiple industries and platforms. - Start: ASAP - English: Upper-Intermediate

With nearly 27 years in consulting and financial services, the engineer exhibits a robust proficiency in BI, ERP, and CRM projects, boasting an extensive background in business process modeling, project, and test management.Skilled in Business Process Mining (Celonis, ARIS). Strong Business Analysis Skills Key qualifications include adeptness in programming with Python, Microsoft SQL, and experience utilizing technologies such as Celonis for process mining. The engineer's track record features successful lead roles in digital transformation projects, evidencing superior skills in managing and executing user acceptance testing for significant banking data migration, enhancing efficiency in the automotive sector, and deploying enterprise solutions, including Microsoft's D365 ERP system.Data analyst (Pandas, Numpy, Polars, Keras, PyTorch, Tensorflow, Matplotlib, Plotly, Seaborn, MS SQL) , building Machine Learning Models in Python Sklearn and LSTM neural network .Experienced PM & Instructor with a demonstrated history of work. Experienced negotiator and salesman, working for German clients. Strong education professional graduated from Borneumoth University.An academic foundation in banking and insurance, complemented by a Python programming certification (PCEP), reinforces a solid command of software engineering principles and methodologies.

- Software engineer with over a decade of experience and background in AI and data science. - Skilled in predictive machine learning models, financial market analysis, and microcontroller development. - Proficient in Python, SQL, ETL processes, and data visualization tools like Power BI and Tableau. - Demonstrated expertise in managing technical directions of organizations and a history of academic excellence with a Master’s in Agronomy and advanced certifications in Data Analytics and Data Science. - ChatGPT 3 Turbo API and automating analysis tasks, showcasing the ability to leverage modern AI technologies to solve complex problems.

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.

Data Engineer with 7 years of expertise in data analytics/science, ETL, and cloud technologies, blending deep healthcare and pharma industry knowledge. Proficient in Python, SQL, and a suite of data engineering tools including, Apache Spark, Airflow, and BI tools such as Power BI. Implemented real-time data streaming using Kafka, and has experience with multiple cloud services from AWS, Azure, and GCP. Key achievements include optimizing SQL database performance, automating data quality checks, and uncovering new drug candidates through computational data discovery—demonstrating a strong fusion of domain knowledge and technical acumen.

A seasoned Data Engineer with over 6 years of experience in the field of software and big data engineering. Holds a strong academic background in Computer Science and Software Engineering, certified as a Google Cloud Professional Data Engineer. Demonstrates deep expertise in high-load system design, performance optimizations, and domain-specific solutions for Healthcare, Fintech, and E-commerce. Proficient in Python and SQL, with significant exposure to data engineering tools such as Apache Hadoop, Apache Spark, and Apache Airflow, and cloud technologies from AWS and GCP. Adept at working with various databases and message brokers, excelling in data modeling, BI, and data visualization using tools like Looker, Power BI, and Tableau. Enhanced system efficiencies through SQL and data pipeline optimizations, driving significant improvements in processing speed and system performance. A collaborative engineer with a strong grasp of DevOps practices, committed to best-in-class data governance and security standards.

- 2+ years of experience as a Data Scientist at QIAGEN (biotech) and at DELOITTE (consulting) - 2 years experience as Data Engineer & ML Researcher at CEREBRIU (AI & Medical Imaging) - BSc in Biomedical Engineering, MSc in Data Science

- BI professional of waged experience in data analytics, predictive analysis, Google Analytics, Google Ads, Shopify and Omni Chanel Analysis. Experienced in Tableau, Power BI, SAP web intelligence, SQL and VBA. - Have strong conceptual understanding in Telecom, Retail, Banking, NBFI KPI Analysis, Data Visualization, Panel Data Analysis & Omni Marketing Data Analysis.

- 12+years of professional experience as a BI - Client's requirements analysis - Database modeling - Writing SQL scripts - Tableau data sources building - Tableau dashboard building - Intermediate English

- Tableau Developer with 4 years experience in Tableau, 6+ years in BI, developing dashboards, and optimizing processes in Tableau for Retail/Ecommerce companies with marketing and sales data to understand Decision Points, resulting in Revenue increments. - Automated the whole Tableau Server workflow using Python Script & REST APIs in order to save 90% of the time, and resources. - I Singlehandedly, Maintain, and develop the Tableau dashboards, Tableau Server, Tableau Prep Flows, Data Models and interact with the PostgreSQL database. - I get excited about opportunities to work with Python and constantly work to improve my skills in Python & Data Science. I am specializing in Data Science with courses from DataCamp. - Upper-Intermediate English

- Recent graduate with a bachelor degree in Management Information Systems, seeking an entry level job as a data/ business analyst. Passionate about finding anomalies, patterns and trends from data through my analytical skills for the purpose of helping businesses solve problems and make informed decisions, professional at coordinating and communicating with others. - Upper-Intermediate English

- 5 years of experience in developing and maintaining complex Tableau dashboards and reports using multiple data sources for diverse industries - 2 years of experience with Qlik; led the design and development of interactive dashboards using Qlik Sense, Power BI, and Tableau; designed and implemented data models in Qlik Sense, facilitating data discovery and exploration. - Upper-Intermediate English

• 3+ years in BI Engineer. • Data load automatization in Python. • Certificate: Python for Data Science and AI; Databases and SQL for Data Science. • Intermediate English. • Available Full-time. • Ready to start in one week.

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

- Highly Professional Software Engineer with 7+ years of expertise in QlikView and over 2 years of hands-on experience in the blockchain industry. - Proficient in Solidity and DAML Smart Contracts, he possesses a strong command of blockchain technologies. - With developed analytical and problem-solving skills, Oleg excels in identifying efficient software solutions to complex challenges. - He consistently meets project requirements and delivers results within deadlines. - Upper-intermediate English.

- Highly experienced developer, team lead, and analyst focused on developing customized solutions.3 master's degrees, 15 years of experience, 4 major projects in leadership positions, and numerous Salesforce projects. - Upper-Intermediate English

A data analyst & BI Expert with Marketing background.

- Experienced BI Analyst with a diverse background in data analysis, data engineering, and data visualization - Proficient in utilizing various BI tools such as PowerBI, Tableau, Metabase, and Periscope for creating reports and visualizations. - Skilled in exploratory data analysis using Python/pandas or SQL, as well as data manipulation in Excel - Experienced in database engineering and ETL processes using airflow/prefect/databricks as an orchestration tool and dbt for transformations. - Knowledge of data governance and implementing data standards. - DB: Postgres, BigQuery/Snowflake. - Advanced English

Data Analyst / BI Engineer with an extensive background in Computer Science and Software Engineering, bringing over 5 years of hands-on experience in high-level programming languages like Python and SQL to the table. Expertise is anchored in building robust data engineering solutions utilizing technologies such as Apache Spark, Apache Airflow, Databricks, and a variety of cloud platforms including AWS and Azure. Proven track record in data migration, optimization, and visualization with tools like Power BI and Tableau, reinforced by a deep understanding of Data Science principles. Adept at both relational and non-relational databases, showcasing remarkable proficiency in PostgreSQL and experience in MongoDB, MSSQL and Cassandra. This individual has made major contributions to cross-domain projects including blockchain, crowd investing, and securities analysis, evidenced by measurable improvements in data processing efficiency and reliability.

Software Engineer with a Computer Science and Software Engineering background and 5 years of experience specializing in data analysis, visualization, and backend systems across retail, mobile, and finance domains. Proven expertise in languages such as Python, SQL, and R, supported by strong knowledge of cloud services like AWS and GCP. Skilled in BI tools and data visualization with Tableau, Looker Studio, and programming libraries Matplotlib, Seaborn, and Folium. Experienced in database management with MySQL, PostgreSQL, and NoSQL databases like Redis and MongoDB. Proficient in Data Engineering practices using Apache Spark and ETL/ELT processes with Apache Airflow. Demonstrates advanced capabilities in Machine Learning and Data Science with extensive use of Pandas, NumPy, and Scikit-learn. Committed to DevOps with experience in Docker, Bash Scripting, and version control systems like Git.

A seasoned software engineer and backend developer with over a decade of experience in the IT industry, specializing in complex backend systems, machine learning, and team leadership. Strong foundation in computer science with an MSc and a PhD in Applied Informatics and Machine Learning from Uzhgorod National University. Proficient in a breadth of technologies including Java, iOS, Android, JavaScript, PHP, Node.js, and Python. Demonstrated ability to spearhead development projects and manage teams, adopting Scrum methodologies and streamlining SDLC processes. Significant expertise in creating robust solutions using Node.js, PostgreSQL, and various cloud services. A proven track record in delivering scalable, high-quality applications for diverse industries, including finance, healthcare, e-commerce, and construction.

- Experienced software engineer with a strong background in computer science and a Bachelor's degree in Computer Science from Chernihiv National University of Technology. - Proficient in AWS Quicksight and XSLT - Skilled in DevOps practices, with hands-on experience in developing and implementing DevOps pipelines, strategies, and infrastructure on AWS using tools like Terraform. - Demonstrated expertise in CI/CD with Git, Jenkins, Ansible, Kubernetes, and Docker, with a focus on automation and rapid application deployment. - Certified AWS Solutions Architect - Associate, showcasing a deep understanding of cloud architecture and solutions. - Proven track record of successfully completing real-time DevOps projects and delivering high-quality software solutions. - Strong problem-solving and analytical skills, with the ability to effectively collaborate with cross-functional teams and adapt to evolving technologies and methodologies. - Upper-Intermediate English

- A wide profile Qualitative Researcher with strong academic background, over 12 years’ experience in the field of marketing research and a big passion for UX and Human Centered Design. - In 2021 I have undertaken a UX Design bootcamp in order to deepen my UX knowledge. - Recently, after a few years in Finland I moved back to Poland, therefore I am determined to further my career as a UX Researcher in this country. - Expertise: usability testing, IDI’s, diads, triads, mini groups and FGI’s, ethnography: in-home visits, observations, diary studies, artifact analysis, discussion forums, workshops, surveys, AB tests, mouse-, click- and eyetracking sessions. - Advanced English

- Senior Data Engineer with a strong technology core background in companies focused on data collection, management, and analysis. - Proficient in SQL, NoSQL, Python, Pyspark, Oracle PL/SQL, Microsoft T-SQL, and Perl/Bash. - Experienced in working with AWS stack (Redshift, Aurora, PostgreSQL, Lambda, S3, Glue, Terraform, CodePipeline) and GCP stack (BigQuery, Dataflow, Dataproc, Pub/Sub, Data Studio, Terraform, Cloud Build). - Skilled in working with RDBMS such as Oracle, MySQL, PostgreSQL, MsSQL, and DB2. - Familiar with Big Data technologies like AWS Redshift, GCP BigQuery, MongoDB, Apache Hadoop, AWS DynamoDB, and Neo4j. - Proficient in ETL tools such as Talend Data Integration, Informatica, Oracle Data Integrator (ODI), IBM Datastage, and Apache Airflow. - Experienced in using Git, Bitbucket, SVN, and Terraform for version control and infrastructure management. - Holds a Master's degree in Environmental Engineering and has several years of experience in the field. - Has worked on various projects as a data engineer, including operational data warehousing, data integration for crypto wallets/De-Fi, cloud data hub architecture, data lake migration, GDPR reporting, CRM migration, and legacy data warehouse migration. - Strong expertise in designing and developing ETL processes, performance tuning, troubleshooting, and providing technical consulting to business users. - Familiar with agile methodologies and has experience working in agile environments. - Has experience with Oracle, Microsoft SQL Server, and MongoDB databases. - Has worked in various industries including financial services, automotive, marketing, and gaming. - Advanced English - Available in 4 weeks after approval for the project

- 5 years of experience as a Data Engineer; - Proficient in Java, Python, JavaScript, and Bash scripting; - Experienced in working with databases such as MSSQL, MySQL, Postgresql, MongoDB, Oracle, DynamoDB, and Redshift; - Skilled in using IDEs like Eclipse and IntelliJ IDEA; - Knowledgeable in Maven, Servlets API, OOP, design patterns, JDBC, Hibernate, JPA, log4j, Git, SVN, Spring core, Spring MVC, Springboot, Hadoop, Spark, JSON, boto3, SQL Alchemy, spark, Pyspark, AWS lambda, AWS CLI, Jenkins, Kafka, jetty, REST; - Has experience in various domains including data engineering, backend web development, and software development; - Holds certifications in AWS machine learning and problem-solving; - English: Upper-intermediate.

- Backend and data engineer with ops skills and an interest in front-end development; - Experienced in Ruby on Rails, Elixir, Python, Node JS, React, and Vue; - Proficient in designing and implementing microservices and APIs; - Skilled in working with distributed systems and databases; - Strong focus on writing clean, efficient, and tested code; - Experienced in CI/CD, code quality, and automatic delivery and deployment; - Familiar with Agile methodologies and working in SCRUM teams; - Upper intermediate English.

- Experienced software engineer with a strong background in computer science and a Bachelor's degree in Economics and Sociology. - Proficient in various programming languages, including but not limited to Java, Python, and C++. - Skilled in software development methodologies, principles, and patterns, with a solid understanding of the SDLC. - Experienced in developing and implementing software solutions, with a focus on problem-solving and delivering high-quality products. - Familiar with a wide range of technologies and tools, including MS Office Suite, SPSS, STATA, and more. - Strong analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams. - Excellent communication and interpersonal skills, with a proven track record of delivering results and exceeding expectations.

- Software Engineer with 7+ years of experience in analysis, design, development, testing, and implementation of various Force.com applications - Expertise in developing Sales applications on Force.com platform using Apex, Visualforce, and Triggers - Proficient in developing Lightning components with Aura Framework and Lightning Web Components (LWC) - Strong knowledge of web-based technologies like HTML, CSS, and JavaScript - Experience in data migration using Data Loader, Import Wizard, and Talend (ETL Tool) - Proficient in automating Force.com applications using Workflow, Approvals, and Validation Rules - Skilled in creating reports and dashboards for data summarization and analysis using Salesforce reporting tools - Familiarity with Salesforce to Salesforce (S2S) integration and order management system implementation.

- Java developer with 7+ years of expertise in fintech projects - Experience with developing b2b solutions for real-time client data monitoring and analysis or creating platforms that manage and store user data securely - Upper-Intermediate English

- A software engineer with over 5 years of experience in Java and related technologies. - Proficient in programming using Spring Framework, Hibernate, and Java Core. - Experienced in creating microservices architecture APIs from scratch and deploying them. - Skilled in participating in discussions regarding API architecture and technology stack. - Strong logical thinking, self-learning abilities, and a high level of responsibility. - Proficient in development methodologies such as SCRUM and Kanban. - Fluent in English, both spoken and written, at an upper-intermediate level. - Holds a Master's degree in radio engineering from Kharkiv National University of Radioelectronics (2009-2014). - Demonstrated skills in back-end development, designing and creating new features, bug fixing, documenting functionality, code review, and testing. - Strong background in software development practices, SDLC, and software engineering principles. - Demonstrated expertise in specific domains and technical skills relevant to the software engineering field.

- Senior Data Scientist with deep expertise in Machine Learning and Computer Vision - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Holds a Doctor of Philosophy degree in Computer Software Engineering from Kyiv Polytechnic University.