Python Engineer (Pandas) for 1648 factory (offline) $4500-6500

Client The international operating management consultancy company was founded in 1992. With offices in 15 different locations, Company is one of Europe's leading providers of management consulting for financial services providers. With more than 950 employees, the company offers services in a number of fields, including Strategy & Organization, Finance & Risk, and IT. The company's motto is "From thought to action." In keeping with this, our consultants not only develop strategies for clients-they see them all the way through to implementation too. That client list, meanwhile, includes banks, savings banks, insurance companies and other financial institutions. The firm has grown steadily in recent years, successfully completing challenging projects all over Europe, and continues to strengthen its position internationally.

Project: It is one of the leading management and strategy consulting firms in the financial services industry in Europe. Python Engineer will be the very first expert on the Python field, becoming a competency. Will report the management of the company directly.
We work predominantly with data management and data visualization applications. The purpose of the project: Analytics of huge data volume. The current project, long term (2-3 years) No overtimes (very German style of work).

Stack: Python 3, Pandas, Spark, Databricks, Scipy, Plotly, DB: Postgresql, ETL, Azure services

Examples of tasks
Analyze raw data
Implement algorithms
Prepare data for predictive modeling
Support code contracts for integration with a product API
Creating documentation explaining the logic of algorithms
Communicate with the team

You come with:
Experience working with Azure technologies.
Azure Databricks
Programming language: Python
Azure Data Factory
Serverless and cloud technologies: Azure Functions, AWS Lambda. Experience with stream processing tools (Spark structured streaming, Azure Stream Analytics, Storm, etc…).
Experience with big data tools (Spark, etc.)
Experience with data pipelines/ETL pipelines.
Experience building Data lake and Data warehouse solutions.
Strong knowledge of SQL
Expertise in working with the following tools: Pandas Spark Databricks Scipy Plotly DB: Postgresql
A proactive, goal-oriented, reliable, and self-structured way of working.

Benefits
The steep learning curve with a lot of responsibility from day #1
Great personal & professional development opportunities in an early-stage fast-growing start-up with an international, ambitious and experienced team
Close cooperation with an exceptional & visionary founder and management team
Flat hierarchies for creative ideas and unconventional approaches
Work in cross-functional teams with business development, product, and development colleagues
A highly entrepreneurial environment where everyone has ownership and freedom to move towards our ambitious goals while getting strong enablement by our management

We offer
Everyday use of modern development tools/frameworks
Professional growth - potentially becomes Python Lead/Architect
High degrees of responsibility and autonomy
Great opportunities for personal and professional growth
Agile teams where your ideas and solutions are valued
An attractive working environment in a dynamic company involving steep training curves and flat command structure
But with advanced insurance and bench.
Remote work from Ukraine or from our Hub in Lviv
Competitive salary with a long term contract
Attractive compensation package (24 days of vacation, 5 sick days - 100% compensation, 10 sick days - 70% compensation, 15 sick days - 50% compensation)
Super-experienced international team
Business trips
Opportunities for self-realization