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.

- 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). - 8+ years with Python for data applications, including hands-on scripting experience - 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 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.

- 20+ years of experience in Software development; - Strong skills in data engineering and cloud architecture; - Experience with encompasses cloud platforms AWS and Azure; - Deep abilities in Big Data technologies Databricks, Hadoop; - Experience with Python, MySQL, PostgreSQL and SQL; - Good knowledge of CI/CD implementation; - Holds certifications such as AWS Certified Solutions Architect and Microsoft Certified Azure Data Engineer Associate; - Experience with ETL; - Knowledge of designing scalable data solutions, leading cloud migrations, and optimizing system performance.

- 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

- 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

Seasoned MDM specialist with 9+ years of expertise in Reltio MDM and Java, offering robust solutions in Master Data Management across global enterprises. Proficient in Reltio configuration, API development, and Reltio API, demonstrating strong proficiency in Java-based technologies, Spring Boot and microservices. Recognized for piloting data integration and quality projects, from requirements analysis to deployment, showcasing a solid foundation in Computer Science from a reputable university. Employs agile methodologies to improve SDLC and deliver high-quality software that aligns with business objectives.

- 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

- 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

- 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

- 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.