Hire Data Team

- 8 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer - Extensive hands-on expertise with Reltio MDM, including configuration, workflows, match rules, survivorship rules, troubleshooting, and integration using APIs and connectors (Databricks, Reltio Integration Hub), Data Modeling, Data Integration, Data Analyses, Data Validation, and Data Cleansing) - Data QA, SQL, Pipelines, ETL, Automated web scraping. - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Extensive experience with Spark and Hadoop, Databricks - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 5 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP) including Data Analytics/Engineering services, Kubernetes (K8s) - 5 years of experience with PowerBI - 4 years of experience with Tableau and other visualization tools like Spotfire and Sisense; - 3+ years of experience with AI/ML projects, background with TensorFlow, Scikit-learn and PyTorch; - Upper-intermediate to advanced English, - Henry is comfortable and has proven track record working with North American timezones (4hour+ overlap)

- Data Engineer with a Ph.D. degree in Measurement methods, Master of industrial automation - 16+ years experience with data-driven projects - Strong background in statistics, machine learning, AI, and predictive modeling of big data sets. - AWS Certified Data Analytics. AWS Certified Cloud Practitioner. Microsoft Azure services. - Experience in ETL operations and data curation - PostgreSQL, SQL, Microsoft SQL, MySQL, Snowflake - Big Data Fundamentals via PySpark, Google Cloud, AWS. - Python, Scala, C#, C++ - Skills and knowledge to design and build analytics reports, from data preparation to visualization in BI systems.

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Data Science - 5 years in Financial Forecasting Systems - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

- 12+ years experience working in the IT industry; - 12+ years experience in Data Engineering with Oracle Databases, Data Warehouse, Big Data, and Batch/Real time streaming systems; - Good skills working with Microsoft Azure, AWS, and GCP; - Deep abilities working with Big Data/Cloudera/Hadoop, Ecosystem/Data Warehouse, ETL, CI/CD; - Good experience working with Power BI, and Tableau; - 4+ years experience working with Python; - Strong skills with SQL, NoSQL, Spark SQL; - Good abilities working with Snowflake and DBT; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Upper-Intermediate English.

Software Engineer with proficiency in data engineering, specializing in backend development and data processing. Accrued expertise in building and maintaining scalable data systems using technologies such as Scala, Akka, SBT, ScalaTest, Elasticsearch, RabbitMQ, Kubernetes, and cloud platforms like AWS and Google Cloud. Holds a solid foundation in computer science with a Master's degree in Software Engineering, ongoing Ph.D. studies, and advanced certifications. Demonstrates strong proficiency in English, underpinned by international experience. Adept at incorporating CI/CD practices, contributing to all stages of the software development lifecycle. Track record of enhancing querying capabilities through native language text processing and executing complex CI/CD pipelines. Distinguished by technical agility, consistently delivering improvements in processing flows and back-end systems.

- Developer and Data Engineer with 10+ years of professional experience - Knowledge of a wide range of programming languages, technologies and platforms, incl Python, JavaScript, C/C++, MATLAB; - Extensive experience with designing and academic analysis of AI/ML algorithms, data analytics, mathematical optimization, modern statistical and stochastic models, robotics; - Determining and analyzing business requirements, communicating with clients and architecting software product; - Experience with cutting edge Semiconductor Engineering; - Solid experience in engineering and design of robust and efficient software products; - Track record of performing as a member of large-scale distributed engineering teams; - Strong knowledge of OOP/OOA/OOD, database modeling; - Proficient in presenting and writing reports and documentation; - Fluent English; - Upper-Intermediate German and Dutch.

Software Engineer with a comprehensive Computer Science education and 9 years of experience in Fin-tech, E-Commerce, and Investment domains. Technical proficiencies include Python, JavaScript, TypeScript, and Go, with notable expertise in backend frameworks like Django and Flask, and data engineering tools such as Apache Spark and Airflow. Experienced in cloud environments, particularly Azure and AWS, providing scalable data processing solutions. Strong DevOps skill set with Docker, Kubernetes, and CI/CD implementation ensuring robust deployments. Proven track record in projects that demand seamless backend development, efficient data pipeline construction, and cloud infrastructure automation.

Versatile Software Engineer with 9 years of experience, bringing a strong background in computer science, particularly in backend development, data processing, and cloud services. Specialized in Python and proficient with frameworks like FastAPI, Django, and Flask. Has engineered complex ETL pipelines, optimized databases including PostgreSQL and Redis, and implemented cloud solutions using AWS and Azure. Excelled in DevOps practices with tools such as Docker, Kubernetes, and Terraform. Demonstrated capability in building scalable, secure applications and services, evidenced by successful project delivery in domains such as e-commerce, human resources, and cybersecurity. With hands-on experience in Stripe payment systems and expertise in system integration, this candidate is equipped to tackle challenging roles in the tech industry.