03.09.2025 aktualisiert
Premiumkunde
100 % verfügbarData Architect, Data Engineer, DWH Consultant
Blankenfelde-Mahlow, Deutschland
Skills
JavascriptAPIsAirflowAmazon Web ServicesBig DataBigqueryCognos ReportNetDatenbankenData ArchitectureInformation EngineeringDateninfrastrukturETLDatensystemeData VaultData WarehousingRelationale DatenbankenInfosphere DatastageApache HiveHP Quality CenterCognos BiPythonPostgresqlMicrosoft Sql-ServerOnline Analytical ProcessingOpen SourceOracle DatabasesOracle FinancialsPentahoPerformance-TuningPL/SQLSQLStreamingTableauUnternehmensdatenGoogle CloudSnowflakeApache SparkXml FilesSAP Business ObjectsGitDatenschichtenData LakeAWS GlueStar-SchemaDatenmanagementReporting-ToolsTerraformDaten-PipelineDockerAmazon RedshiftOracledb
AWS Glue, Airflow, Redshift, Amazon AWS, AWS, Hive, Spark, APIs, Big Data, Bigquery, Cognos Report, Data architecture, Data Architect, Data Infrastructure, Data Lake, data layer, Big Data tools, data pipelines, DataFlow, Data solutions, Data Vault, enterprise Data Warehouse, Data Warehouse, Database, databases, Docker, corporate data, ETL, Git, Google Cloud Platform, HP Quality Center, IBM Cognos 8, IBM DataStage, DataStage, data engineering, JavaScript, MS SQL Server, OLAP, open source, Oracle, Oracle Database, Oracle DB, PL/SQL, Pentaho Data Integration, performance tuning, PostgreSQL, Python, RDMS, SQL, Business Objects, Snowflake, Star Schema, Tableau, Terraform, reporting tools, XML files
Sprachen
DeutschgutEnglischverhandlungssicherHebräischMuttersprache
Projekthistorie
Mentoring and guiding the Operations global analytic team (about 45 team member) how
to build proper data layer. Together with our data engineering team, we transform our
way to consume data. We want to offer our stakeholder the opportunity to have managed
Self Service BI in near real time. This include consuming event data, arranging it multiple
data layer (Data Lake) and preparing it for consumption in the BI tool. The technology
stack include several services of Google Cloud Platform such Bigquery, Airflow and
DataFlow.
to build proper data layer. Together with our data engineering team, we transform our
way to consume data. We want to offer our stakeholder the opportunity to have managed
Self Service BI in near real time. This include consuming event data, arranging it multiple
data layer (Data Lake) and preparing it for consumption in the BI tool. The technology
stack include several services of Google Cloud Platform such Bigquery, Airflow and
DataFlow.
Managing a team of professional five data and DWH engineers responsible for the
following tasks:
* Creating enterprise Data Warehouse on Snowflake which is based on Data Vault
architecture.
* Enterprise Event Service Bus on AWS (MSK + Nakadi)
* Data Lake on AWS
following tasks:
* Creating enterprise Data Warehouse on Snowflake which is based on Data Vault
architecture.
* Enterprise Event Service Bus on AWS (MSK + Nakadi)
* Data Lake on AWS
Short freelancer project as Data Architect Consultant at PaulCamper GmbH. My
responsibility was review the current data architecture, advice and set the grounds
to a modern scalble data architecture that will answer the business and technical
requirements.
responsibility was review the current data architecture, advice and set the grounds
to a modern scalble data architecture that will answer the business and technical
requirements.