apreel Sp. z o.o.
Távmunka
1.9M – 2.2M HUF vállalkozói havonta+ÁFA
Elvárások
- HTML
- Data analysis
- Data models
- Storage
- Data modelling
- Data engineering
- Python
- Spark
- Shell
- SQL
- SQL Server
- Neo4j
- Snowflake
- PostgreSQL
- Data structures
- Product design
- Oracle
- Cloud
- BigQuery
- Redshift
- Azure Cloud
- Data Lake
- Azure SQL
- Operating system
- Angol (C1)
- Lengyel (Anyanyelvi)
Előnyt jelentő készségek
- Project management
- Data visualization
- Tableau
- BI
A mi követelményeink
Eredeti szöveg. Fordítás megjelenítése
Skills and attributes for success :
- Highly skilled in data modelling: Experience developing data models from scratch for green field projects in multiple domains. Should have Deep understanding of data warehousing concepts, dimensional modelling, and normalization/denormalization techniques. Expertise in tools such as Erwin Data Modeler, PowerDesigner , or similar.
- Knowledge of data products: Strong understanding of data product design principles and lifecycle.
- Strong SQL skills and experience with relational (e.g., Oracle, SQL Server, PostgreSQL) and cloud databases (e.g., Snowflake, BigQuery , Redshift).
- Good understanding of Azure cloud data services (Data Lake, Data Factory, Azure SQL).
- Problem-Solving: Adept at tackling complex issues and finding effective solutions.
- Curiosity and Self-Starter: Always eager to learn and take initiative without needing constant guidance.
- Comfortable with Ambiguity: Capable of working efficiently even when the answers are not immediately clear.
- Effective Communication: Excellent at conveying complex ideas and collaborating with stakeholders.
- Experience with Databases and Data Formats: Familiar with various databases, operating systems, file types, and data formats.
- Experience with different data roles (analysis, modelling, science, etc).
Preferred Skills:
- Advanced Data Modelling Techniques: Experience with advanced modelling.
- Busin ess Analysis Expertise: Ability to bridge the gap between technical and business requirements.
- Exposure to Programming: Skilled in Python, Spark and SQL.
- Project Management: Skills in managing projects, timelines, and deliverables.
- Data Visualization Tools: Proficiency with tools such as Tableau, Power BI, or similar.
Pozíció / projekt rövid leírása
Eredeti szöveg. Fordítás megjelenítése
Offer:
- Location: 100% remote / equipment pick up in Warsaw OR Wrocław
- Start: ASAP
- Employment: B2B contract with apreel
- Rate: up to 160 zł /h + VAT
Napi feladatok
Eredeti szöveg. Fordítás megjelenítése
- Data Extraction and Standardization : Lead initiatives to extract and standardize financial data from various formats, including PDF, HTML, XBRL and iXBRL , ensuring data accuracy and consistency.
- Mentorship and Development : Provide guidance and support to junior analysts, fostering their growth in data analysis, programming, and statistical methodologies.
- Exploratory Data Analysis : Conduct exploratory data analysis to identify trends, raise important questions, and derive actionable insights.
- Data Model development : Design, implement and optimize conceptual, logical and physical data models for enterprise-scale data products. Develop and maintain data models using ERD diagrams and manage the data dictionaries, for transactional, star and flat schemas etc for different storage structures.
- Data Model Democratization: Partner with data engineering teams to democratize the data model for designing efficient data pipelines.
- Data Modelling Standards: Define and enforce data modelling standards and best practices. Conduct data analysis to validate modelling standard compliance, model accuracy, identify anomalies, and ensure data quality.
- Data Classification and Taxonomies: Design custom taxonomies, and reference data classification methods/structures
- Programming and Automation : Utilize programming languages such as Python, Spark, Regex, Shell Scripts and SQL for data manipulation, analysis, and automation of processes, including meta-programming and dynamic code generation.
- Database Management : Manage and optimize databases (SQL Server, Neo4j, Snowflake, Postgres), understanding join types, aggregate functions, and data storage formats (Parquet, AVRO, Delta).
- Collaboration : Collaborate with product managers, data engineers, and analysts to translate business requirements into robust data structures. Work closely with cross-functional teams to address data quality issues and implement effective solutions, promoting a cult
mutass kevesebbet
Specifikációk
- Toborzás nyelvei: lengyel
- Azonnali kezdés
- Távmunka
A toborzási folyamat lépései
- 1 rozmowa (techniczna z elementami miękkimi)
Biztosított eszközök
- Linux
- Windows
- Számítógép: Notebook
- Monitorok: Egy
Metodológia
- Agile managementScrum, Agile
- Issue tracking toolJira
- Knowledge repositoryConfluence
- Version control systemGIT
- Integration testsAPI testing
- Unit testsTDD, JUnit
- Tester(s)
- Data analyticsPython
- Data platform / databasesSQL Server
- ETL tools
Extrák
- Remote work
