15.09.2025 aktualisiert
100 % verfügbar
Senior Data Engineer with 6+ years of experience in cloud-native data platforms
schorndorf, Deutschland
Weltweit
PhDSkills
JavascriptAirflowAmazon Web ServicesData AnalysisMicrosoft AzureCloud ComputingComplianceComputerprogrammierungContinuous IntegrationInformation EngineeringETLDatensicherheitDatenvisualisierungData WarehousingDevopsE-CommerceGithubR (Programmiersprache)HIPAAIdentitätsmanagementPythonPostgresqlMachine LearningMongodbMysqlPredictive ModellingPower BiSupply Chain ManagementSQLTableauVisual AnalyticsSnowflakeApache SparkGitlabGitKubernetesCassandraGoogle BigqueryApache KafkaBitbucketDatenmanagementSicherheitsbestimmungenTerraformLooker AnalyticsDockerJenkinsAmazon Redshift
Cloud Data Engineering
Expertise in building cloud-native data platforms on AWS, GCP, and Azure with ETL pipelines and real-time streaming solutions that improved e-commerce supply chain efficiency by 25%.
Data Warehousing & Analytics
Proficiency in Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MongoDB, and Cassandra for large-scale data management and analytics.
Programming & Development
Advanced skills in Python, SQL, R, JavaScript, and various data engineering tools including Apache Airflow, Spark, Kafka, Docker, and Kubernetes.
Data Visualization
Experience with Power BI, Tableau, Looker, Sisense, and Streamlit for creating dynamic dashboards and visual analytics.
DevOps & CI/CD
Knowledge of Git, GitHub, GitLab, Jenkins, Bitbucket, Terraform, and Docker for efficient development operations and continuous integration.
Security & Compliance
Understanding of IAM, HIPAA, and PII handling for secure data management and regulatory compliance.
Machine Learning
Application of machine learning techniques for predictive modeling and data analysis, improving model performance in client-facing applications.
Expertise in building cloud-native data platforms on AWS, GCP, and Azure with ETL pipelines and real-time streaming solutions that improved e-commerce supply chain efficiency by 25%.
Data Warehousing & Analytics
Proficiency in Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MongoDB, and Cassandra for large-scale data management and analytics.
Programming & Development
Advanced skills in Python, SQL, R, JavaScript, and various data engineering tools including Apache Airflow, Spark, Kafka, Docker, and Kubernetes.
Data Visualization
Experience with Power BI, Tableau, Looker, Sisense, and Streamlit for creating dynamic dashboards and visual analytics.
DevOps & CI/CD
Knowledge of Git, GitHub, GitLab, Jenkins, Bitbucket, Terraform, and Docker for efficient development operations and continuous integration.
Security & Compliance
Understanding of IAM, HIPAA, and PII handling for secure data management and regulatory compliance.
Machine Learning
Application of machine learning techniques for predictive modeling and data analysis, improving model performance in client-facing applications.
Sprachen
DeutschgutEnglischMuttersprache
Projekthistorie
Led comprehensive market research and analytics, built Tableau dashboards, designed cloud-based data solutions on AWS and GCP, developed relational databases, and implemented blockchain-based community engagement tools.
Conducted advanced analytics on gaming data using Firebase and BigQuery, focusing on player behaviour, retention, and monetization.
Delivered actionable insights to enhance retention strategies and optimize customer engagement using tools like BigQuery and Databricks.