Senior Azure Data Engineer @ Experis Polska

2 weeks ago


Warsaw, Czech Republic Experis Polska Full time

Tech Stack Programming: Python, PySpark, SQL, SparkSQL, Bash Azure: Databricks, Data Factory, Delta Lake, Data Vault 2.0 CI/CD: Azure DevOps, GitHub, Jenkins Orchestration: Airflow, Azure Data Factory Databases: SQL Server, Oracle, PostgreSQL, Vertica Cloud: Azure (expert), AWS (intermediate) Tools: FastAPI, REST APIs, Docker, Unity Catalog Preferred Certifications Azure Data Engineer Associate (DP-203) Databricks Lakehouse Fundamentals Apache Airflow DAG Authoring Cloudera Spark Development Senior Azure Data Engineer – Hybrid (Warsaw) - Minimum 5 years of experience Start Date: ASAP / Within 1 Month / Flexible Contract Type: B2B (180–190 PLN/h + VAT) Work Model: Hybrid – Warsaw (2 days onsite, 3 days remote) Project Overview: We are seeking a Senior Azure Data Engineer to support the migration of BI reports as part of a broader Cloudera-to-Azure transition. The role involves re-architecting legacy platforms, implementing scalable data pipelines, and ensuring compliance with regulatory standards. Benefits Medicover healthcare Multisport card E-learning platform access Group life insurance Opis Firmy Experis to światowy lider rekrutacji specjalistów i kadry zarządzającej w kluczowych obszarach IT. Z nami znajdziesz konkurencyjne oferty zatrudnienia oraz ciekawe projekty IT skierowane zarówno do ekspertów z wieloletnim doświadczeniem, jak i osób, które dopiero zaczynają swoją przygodę w branży IT. Oferujemy rekrutacje menedżerów i wysoko wykwalifikowanych konsultantów z doświadczeniem w branży IT. Experis jest częścią ManpowerGroup i został uznany za jedną z najbardziej etycznych firm na świecie. ,[Lead migration from Cloudera/Hadoop/SAP to Azure Databricks , Design metadata-driven ETL/ELT pipelines using medallion architecture , Automate deployments via CI/CD (Azure DevOps, GitHub, Jenkins) , Collaborate with stakeholders to ensure data quality and governance , Optimize Spark/PySpark pipelines for performance and cost , Mentor engineering teams and promote cloud-native best practices ] Requirements: Python, PySpark, SQL, Bash, Azure, CI/CD, Airflow, Azure Data Factory, Oracle, PostgreSQL, AWS, FastAPI, REST API, Docker Additionally: Sport Subscription, Private healthcare, Life insurance.



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