Name: Data Enginer
Price: 500 EUR
Availability: InStock

Beschreibung

Google Cloud Certified – Professional Data Engineer, end-to-end data engineering expertise on GCP
Experienced in Azure Databricks, ADF, Python, SQL, and modern ETL/ELT.
Skilled in Medallion Architecture and Delta Lake (ACID, MERGE, schema evolution, OPTIMIZE/VACUUM) for
Strong background in batch/stream processing, predictive analytics, and ML workflows.
Proven ability to deliver secure, high-performance, cost-efficient data platforms across Azure, AWS, and GCP

Sprachen

Rumänisch
Muttersprachlich oder zweisprachig
Englisch
Muttersprachlich oder zweisprachig

Arbeitsortpräferenzen

Nur remote

Führt Projekte hauptsächlich remote aus

Banking Industry
Senior Data Engineer
BANKEN & VERSICHERUNGEN
Mai 2024 - Heute (2 Jahre und 3 Monate)
Bukarest, Rumänien
Engineered Python/PySpark ETL pipelines for multiple sources, increasing throughput ~20%
Refactored cloud data architectures (Azure/GCP), reducing costs 15–25%.• Implemented governance, cataloging, and profiling frameworks (GDPR/CCPA), across critical datasets.
Enabled ML pipelines, secure Vertex AI workflows for feature engineering, model serving, and threat detection.
PySpark SQL Python Google Cloud Platform (GCP)
Waste Management & Recycling Industry
Senior Data Engineer
UMWELT
Juni 2025 - November 2025 (5 Monate)
Bukarest, Rumänien
Built Delta Lake pipelines with ACID guarantees, schema evolution, and MERGE upserts for 1TB+ daily workloads, improving performance with OPTIMIZE (Z-ORDER) and automated VACUUM policies.
Designed scalable architectures across Delta Lake, ADLS, and Synapse, delivering 30–40% performance gains, and developed Spark/PySpark workloads that cut ETL runtimes by up to 50%.
Implemented NoSQL models in Cosmos DB (25%+ query improvement) and automated data quality, governance, and CI/CD workflows to increase platform reliability.
Databricks SQL PySpark Python
ING Hub
Senior Big Data Engineer
BANKEN & VERSICHERUNGEN
September 2023 - Mai 2024 (8 Monate)
Bukarest, Rumänien
Modernized Databricks & ADF pipelines with Medallion Architecture, improving efficiency (~15-25%).
Built SQL Bronze/Silver/Gold tables to consolidate data, reducing redundancy (~30-40%).
Applied Unity Catalog for governance, lineage, and quality, enhancing data trust.
Automated ETL and orchestration with Python, SQL, APIs, and Azure DevOps.
SQL Python APIs