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Anton
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Anton, Data Analyst / BI Engineer

Warsaw, Poland
Last Updated: 23 Apr 2024

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.

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Azure Databricks

Azure Databricks   3 yr.

Python

Python   5 yr.

SQL

SQL   5 yr.

Apache HTTP Server

Apache HTTP Server   5 yr.

AWS Cloudformation

AWS Cloudformation   4 yr.

View Anton
Nata L
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Nata L, Data Analyst with BI and Data Engineering skills (Senior Certified Tableau Engineer)

Germany
Last Updated: 23 Apr 2024
Identity Verified
Language Verified
Programming Skills Verified
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- Oriented Data and Business Intelligence Analysis engineer with Data Engineering skills. - 6+ years of experience with Tableau - 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

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Azure Databricks

Azure Databricks

Python

Python   6 yr.

SQL

SQL   8 yr.

Microsoft Power BI

Microsoft Power BI

Data Analysis Expressions (DAX)

Data Analysis Expressions (DAX)   4 yr.

Tableau

Tableau   6 yr.

View Nata
Simon K.
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Simon K., Python Software Engineer with data engineering skills

Hannover, Germany
Last Updated: 23 Apr 2024

- 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

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Azure Databricks

Azure Databricks

Python

Python

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Natig
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Natig, Data Engineer

Norway
Last Updated: 14 Jul 2023

- 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.

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Azure Databricks

Azure Databricks

Python

Python   4 yr.

Microsoft Azure

Microsoft Azure   5 yr.

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Oleksandr T.
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Oleksandr T., BI Analyst

Odesa, Ukraine
Last Updated: 23 Apr 2024

- 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

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Azure Databricks

Azure Databricks

Microsoft Power BI

Microsoft Power BI

Tableau

Tableau

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5.0

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Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий  місяць. І знайдені кандидати нам не підходили  Це щось неймовірне. Доречі, ці кандидати працюють у нас  і зараз. Та надать приклад іншим працівникам. Гарного дня!)
  
 
  
 
 
 
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FAQs about Azure Databricks Development

How do I hire a Azure Databricks developer? Arrow

Are you desperately looking for a Azure Databricks developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Azure Databricks Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Azure Databricks developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Azure Databricks guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Azure Databricks developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Azure Databricks candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Azure Databricks developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Azure Databricks Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Azure Databricks engineers in person. Make the right call. Bring a new Azure Databricks developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Azure Databricks engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Azure Databricks skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Azure Databricks developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Azure Databricks developers. Upstaff has a network of vetted and tested Azure Databricks developers. Here, you can hire web developers for a few simple coding tasks with Azure Databricks.

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Hiring Azure Databricks developers? Then you should know!

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Table of Contents

How and where is Azure Databricks used?

  • Data Integration: Using Azure Databricks to consolidate data from various sources.
  • Real-time Analytics: Analyzing data streams instantly for insights.
  • Machine Learning: Implementing ML algorithms for predictive analysis.
  • Collaborative Filtering: Providing personalized recommendations based on user behavior.
  • Clickstream Analysis: Understanding user navigation patterns on websites.
  • Batch Data Processing: Handling large volumes of data efficiently.
  • IoT Data Processing: Managing and analyzing data from Internet of Things devices.
  • Sentiment Analysis: Determining opinions and emotions from text data.
  • Fraud Detection: Identifying fraudulent activities in real-time.
  • Healthcare Analytics: Analyzing patient data to improve medical services.

Compare Junior, Middle, Senior, and Expert/Team Lead Azure Databricks Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior1-2 years
  • Assist in data analysis
  • Support in code development
  • Participate in testing
60,000
Middle3-5 years
  • Develop data pipelines
  • Optimize Spark jobs
  • Implement data transformations
85,000
Senior6-8 years
  • Lead project implementations
  • Design scalable architecture
  • Mentor junior developers
110,000
Expert/Team Lead9+ years
  • Architect data solutions
  • Define best practices
  • Manage team workflows
140,000

Quick Facts about Azure Databricks.

  • Azure Databricks was born in 2017, a brainchild of the cloud gods.
  • This tech marvel is adored by data scientists and AI enthusiasts worldwide.
  • The entry barrier for Azure Databricks is as high as a geek’s bookshelf.
  • Its best friend in the tech world is none other than Apache Spark.
  • Did you know? Azure Databricks can crunch data faster than a caffeinated coder!

TOP Azure Databricks Related Technologies

  1. Python (Guido, 1991)
  2. Scala (Odersky, 2003)
  3. SQL
  4. R (Ihaka & Gentleman, 1993)
  5. Java (Gosling, 1995)

What are top Azure Databricks instruments and tools?

  • Azure Databricks Runtime: Provided by Microsoft, released in 2018
  • Databricks Workspace: From Databricks, released in 2017
  • Databricks Serverless: By Databricks, released in 2019

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