Location: Warsaw, Poland (Hybrid Work Model - Preferred)Employment Type: Permanent Job Description: Py Spark Knowledge of Python Py Spark for developing data pipelines and performing data transformation Technical Strong development skills in Pyspark is a must Must have hands-on experience on Py Spark Dataframes RDDDAG Partitioning Spark SQL Optimization Clustering Knowledge of Azure SQL Databricks ADF is required Experience in working with Delta file, Tables, Parquet, CSV file formats Develops and maintains ingestion pipelines Develops and maintains data wrangling code, wrangling pipelines, and database integrations Develops algorithms based on the requirements stated by the use case Knowledgeable in cloud technologies primarily in MS Azure which includes Databricks, ADF, SQL DB, Storage Accounts, Key Vault, Application Gateways, Vnets, Azure Portal Management, Power BI Integration Focus on end user and customer centricity Strong oral and written communication skills Passion for learning new tools, languages, and frameworks Strong problem-solving skills able to work with minimal direct guidance Experienced in Cloud services Discipline in writing technical and non-technical documentation Overall Experience 5 years Certification Must have: Azure Fundamentals Certification AZ900 Mandatory Skills: Apache Spark Django Flask Nginx Python Seniority level Associate Employment type Full-time Job function Information Technology Industries Staffing and Recruiting
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Data Engineer
180,000 zł
Data Engineer
Poland, Lubelskie, Warszawa,
Zmodyfikowano May 2, 2025
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