Upstaff’s Guide to Hire Data and Analytics Team in 2025

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills (SQL, Airflow). - 6+ years of experience with Tableau (Certified Tableau Engineer) - Experience in Operations analysis, building charts & dashboards - 20+ years of experience in data mining, data analysis, and data processing. Unifying data from many sources to create interactive, immersive dashboards and reports that provide actionable insights and drive business results. - Adept with different SDLC methodologies: Waterfall, Agile SCRUM - Knowledge of performing data analysis, data modeling, data mapping, batch data processing, and capable of generating reports using reporting tools such as Power BI (advanced), Sisence(Periscope) (expert), Tableau (Advanced), Data Studio (Advanced) - Experience in writing SQL Queries, Big Query, Python, R, DAX to extract data and perform Data Analysis - AWS, Redshift - Combined expertise in data analysis with solid technical qualifications. - Advanced English, Intermediate German - Location: Germany

- 12+ years of experience in IT, with 12+ years in Data Engineering and Data Architecture, including Oracle Databases, Data Warehousing, Big Data, and real-time streaming systems; - Experience in designing and maintaining enterprise Data Warehouses, leading cloud migration initiatives across Azure, AWS, and GCP; - Strong architectural expertise in ETL/ELT pipelines, batch/real-time processing, and data governance/quality frameworks; - Deep knowledge of Big Data ecosystems (Cloudera, Hadoop, Databricks, Synapse Analytics, HDInsight, AWS EMR); - Skilled in multi-cloud architecture design using Snowflake, DBT, Cosmos DB, Redshift, BigQuery, Athena, and Data Lake solutions; - Experienced in data streaming and integration with Apache Kafka, Apache Spark, PySpark, and Airflow; - Expertise in BI and reporting systems with Power BI and Tableau for data visualization and analytics delivery; - Strong foundation in database administration and security: Oracle EBS R12, RAC/ASM, WebLogic, SOA Suite, ERP systems, database audits and compliance; - Certified in Azure Data Engineer, AWS Data Analytics Specialty, Confluent Kafka, Oracle DBA.

- 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.

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.

- 8 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer - Automated Web scraping (Beautiful Soup and Scrapy, CAPTCHAs and User agent management) - Data QA, SQL, Pipelines, ETL - 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; - 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) - Upper-intermediate to advanced English, - Henry is comfortable and has proven track record working with North American timezones (4hour+ overlap)

-Machine Learning and Data Engineer with 10+ years of professional experience - Knowledge of a wide range of programming languages, technologies and platforms, inc 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; - 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; - Experience with cutting edge Semiconductor Engineering; - Proficient in writing and presentation of grants, projects reports and documentation; - Fluent English; - Upper-Intermediate German and Dutch.

Software engineer with proven expertise in designing robust machine learning and data pipeline components. Key experiences include leading the integration of an agentic AI decisioning solution at Braze and crafting data strategies at WE Foundation. Technically proficient in Python, SQL, Spark, and GCP, with strong foundations in software engineering principles for scalability and maintainability. Demonstrated leadership in advancing team culture, significantly reducing model downtimes at SOK. Credited with innovating AI-driven scheduling solutions at Quinyx, contributing over €350K in annual recurring revenue. Currently finalizing a Master's degree in Business Analytics with hands-on application of Business Intelligence, analytics, and data modeling, poised to deliver high-impact results in technology-driven roles.

Highly skilled MLOps Engineer with extensive experience in building, deploying, and scaling machine learning models in production environments. Proficient with a range of cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes), adept at implementing CI/CD pipelines (Jenkins, GitHub Actions) for reduced deployment time by 40%, and well-versed in MLOps/DevOps integration for efficient ML model lifecycle management. Holds a strong foundation in computer science with an M.Sc. degree and multiple certifications including AWS Machine Learning Specialty. Proven track record with project achievements like developing an ETL pipeline for real-time analytics and achieving a 20% reduction in transaction fraud through a real-time fraud detection system.