Hire Azure Databricks Developer

- 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.

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.

- 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

- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills. - 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

- 8+ year experience in building data engineering and analytics products (Big data, BI, and Cloud products) - Expertise in building Artificial intelligence and Machine learning applications. - Extensive design and development experience in AZURE, Google, and AWS Clouds. - Extensive experience in loading and analyzing large datasets with Hadoop framework (Map Reduce, HDFS, PIG and HIVE, Flume, Sqoop, SPARK, Impala), No SQL databases like Cassandra. - Extensive experience in migrating on-premise infrastructure to AWS and GCP clouds. - Intermediate English - Available ASAP

- 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

- 5+ years experience as Data Engineer. - Has good knowledge of theoretical foundations and the general principles of delivery, understanding of the programming process, phases, goals, and objectives. - Upper-Intermediate English. - Start ASAP

- Solution Architect with 7 years of experience. My experience includes architecting, managing, and implementing various platform solutions. I have extensive knowledge of designing complex data solutions. I understand the tradeoffs of implementing commercial and open-source data solutions and have helped clients implement the best platform based on their business requirements. - IT engineer with 15 years of solid experience in the following areas: full development life cycle, CI/CD, software development processes and methodologies, architecture and infrastructure design, and disaster recovery solution elaboration. - Outstanding analytical and problem-solving skills. Professional oriented on a result with leadership and communications skills.

- Data Engineer with solid data pipelines, DWH, data lake architecture, development and optimization expertise on cloud platforms including Azure, GCP, and AWS. - Snowflake strong - advanced level - with a proven track record of automating ETL processes with multiple tools managing large-scale data warehousing, and enabling business intelligence through sophisticated analytics solutions. - Strong Python, Spark, Kafka, skills, - Experience creating datastore and DB architectures, ETL routines, data management and performance optimization - MSSQL, MySQL, Postgres. - In multiple projects, Vadym analysed and Improved operational efficiency, reduced data-related infrastructure costs, and delivered seamless data integration and transformation across systems.

- Software engineer with 6 years of experience in data science and computer vision. - Proficient in Python, C++, and various data science libraries such as NumPy, Pandas, and scikit-learn. - Experienced in developing real-time computer vision algorithms for iOS and Android devices. - Skilled in dataset gathering, neural network training, and model optimization using Inference Triton Server. - Developed and integrated a face reenactment algorithm for photo editing. - Familiar with DevOps and MLOps tools such as AWS, Docker, and Google Cloud. - Holds a Master's degree in Data Science and a Bachelor's degree in Computer Science from Ukrainian Catholic University.

Software engineer with extensive experience in native iOS development, skilled in Swift and Objective-C, and a strong background in Computer Science from Chandigarh University. Notable achievements include leading 5+ projects solo and earning the 'Plobal Apps Rising Star 2024' award. Proficient in UIKit, SwiftUI, and various other iOS technologies, the engineer has a proven track record of contributing to scalable mobile applications, while expertly employing tools such as Git, Firebase, and Realm. With effective communication skills reflected in successful client interactions and a dedication to Agile methodologies, they have demonstrated the ability to drive projects to successful completions.

A seasoned iOS developer with over 7 years of experience, specializing in the Apple ecosystem. Proficient in Swift, Objective-C, SwiftUI, and Kotlin, with strong expertise in reactive programming, databases, networking, and multithreading. This engineer is adept in implementing various architectural patterns such as MVVM, Singleton, and Dependency Injection. Their technical background is solidified by a Master's degree in System Engineering and Computer Science. Their professional portfolio spans several domains, including Security, Healthcare, and FinTech, showcasing a versatile approach to app development. Key contributions include developing CI/CD pipelines, performing comprehensive testing, and successful App Store deployment. Strengths include advanced knowledge of networking protocols, database management, and multiparadigm programming, making the engineer a well-rounded candidate for complex iOS projects.