Data Engineer - Microsoft Fabric
Must-have:AzureData
Machine translation — original language: Polish.Show original
Hi! We are Angry Nerds and we invite you to our world of mobile and web apps!
A few words about Angry Nerds:
Software House | 10 years on the market | approx. 100 people on board | 545 completed projects
Currently, we are looking for a person for the Data Engineer position.
What a Data Engineer does at Angry Nerds:
- Is responsible for writing code and collaborating with the project team and the client,
- Pays attention to the performance of executed SQL queries,
- Participates in analyzing, estimating, and planning the project,
- Supports other developers in analyzing and improving solutions,
- Proposes new solutions and participates in improving existing solutions,
- Uses the English language in daily work,
- Works with data of various formats and prepares it for further analysis using cloud technologies.
We will provide you with:
- Fully remote work
- Flexible working hours, good for early birds and night owls
- Company equipment and a budget for accessories,
- An annual training budget,
- Subsidies for a sports package and medical care,
- An integration budget,
- Work in a company with a flat structure in a well-knit team of Nerds :)
Recruitment process:
- Interview with the HR department: approx. 40 min – we want to get to know each other better!
- Technical verification in the form of a video call with our specialists: approx. 1.5 h,
- Decision and feedback regarding the recruitment process.
Requirements
Our expectations:
- Minimum several years of commercial experience in data processing using Microsoft Fabric cloud technologies,
- Knowledge of Azure Synapse,
- Experience in implementing data migration projects from Azure Synapse to Microsoft Fabric.
- Good knowledge of Apache PySpark using Notebooks,
- Experience working with CSV, Delta, Parquet file types,
- Experience working with ETL, ELT pipelines,
- Experience working with the Azure cloud,
- Experience working with Azure SQL,
- Very good knowledge of SQL (T-SQL),
- Analysis and maintenance of stored procedures, views,
- Identification and mapping of dependencies in a medallion architecture (CSV, Json, SQL),
- Reverse‑engineering of business logic (output -> input), including documenting rules and identifying edge‑cases,
Must have: MS Fabric, Azure Synapse, PySpark, SQL