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

- 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