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

- 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.

• 9 years experience with various data disciplines: Data Engineer, Data Quality Engineer, Data Analyst, Data Management, ETL Engineer • Built and optimized production-grade PySpark pipelines handling millions of records, including complex transformations, joins, aggregations, and backfills, with a strong focus on performance and data quality. • 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 (hands-on with Spark-based pipelines deployed in cloud environments and have used Databricks as the execution and collaboration layer: jobs, notebooks, cluster configs). • 7 years of experience working with MySQL, SQL, and PostgreSQL; • 5 years of experience with Amazon Web Services (AWS) • Google Cloud Platform (GCP): BigQuery, GCS, App Engine, data pipelines, and Azure (basic knowledge) • 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

- 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

- 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.

Expert Data Engineer with 6+ years of professional experience, specializing in DataOps and DevOps, with a master's degree in Industrial Analytics from Uppsala University. Proficient in building scalable data pipelines using a variety of technologies including Snowflake, AWS, Lambda, PySpark, and Kafka, evidenced by success in event-driven pipeline creation and real-time data ingestion projects. Skilled in automating deployment using Ansible and GitHub Actions, and in data transformation with a focus on automation and efficiency. Accomplished in data analysis and visualization, utilizing tools such as Power BI, DAX, and Power Query. Possesses strong programming skills with extensive use of Python, and experience in database support with expertise in SQL. Demonstrated ability to develop IoT solutions, engage in network engineering, and apply advanced Linux administration techniques.

Seasoned Backend Engineer with over 5 years of experience specializing in Golang, adept at constructing scalable microservices and REST APIs. Demonstrated expertise in concurrency patterns and system design, backed by a strong computer science foundation with a B.E. in Computers achieving a 9.18 CGPA. Proficient in a wide array of technologies, including Go 1.18+, Gin, gRPC, PostgreSQL, and AWS cloud services, complemented by a hands-on background in DevOps practices like Docker and Kubernetes. Significant contributions to projects like a facilities management platform, industrial data management system, and e-commerce platforms, showcasing skills in optimizing database performance and developing high-performance APIs with sub-100ms response times. Embraces agile methodologies and has a proven ability to mentor other developers and lead technical initiatives.

Seasoned Data Engineer with over 6 years of industry experience, specializing in the development of robust ETL pipelines, real-time streaming solutions, and advanced data architectures. Outstanding proficiency in Python, PySpark, Kafka, AWS services, Databricks, and Airflow. Demonstrated expertise in automating data workflows, optimizing data models for analytics, and managing data migrations with minimized disruption. Adept at deploying scalable cloud-based data warehousing solutions and enforcing high standards of data quality.