Name: Senior Cloud Data Engineer
Price: 850 EUR
Availability: InStock

Languages

English
Native or bilingual
German
Fluent

Workplace preferences

Remote only

Primarily works remotely

Vattenfall Energy Trading GmbH
Employee Cloud Data Engineer
August 2022 - Today (3 years and 10 months)
Matillion ETL:
Implemented and configured Matillion ETL infrastructure for efficient data processing and
transformation.
Set up Matillion Git Integration and provided guidance and training to developers on its usage.
Established strategy and multiple environments for DTAP
Snowflake:
Orchestrated Snowflake SCIM Azure Integration with AD Groups.
Implemented Snowflake Business Critical Tri-Secret Security for data encryption.
Managed Snowflake access control using T erraform.
Developed and enforced row access policies through AD groups.
Collaborated with developers on performance enhancements and warehouse tuning.
Azure Infrastructure:
Established Azure DevOps pipelines for various automation tasks.
Designed and structured Azure Data Factory solutions overcoming complex enterprise firewalls.
Maintained Azure VMs to support diverse business requirements.
Developed and deployed jobs and services to Kubernetes.
Flow.BI
Founding Engineer Developer
May 2022 - April 2024 (1 year and 11 months)
Responsibilities:

Founding engineer in the development of a cloud data platform specializing in data warehousing.
Implemented an application repository adhering to Data Vault 2.0 standards.
Implemented Row-Level security in PostgreSQL.
Established the foundation of AWS infrastructure with Infrastructure as Code (IaC) using
Terraform.
Utilized a variety of AWS services to support the microservices architecture of the system.
Developed XML/XSLT templates to automate script generation.
Scalefree International GmbH
BI Consultant
January 2021 - July 2022 (1 year and 6 months)
06.2021 - 07.2022
E.ON Energy

● Migration of Legacy DWH to a Data Vault 2.0.
● Data Modelling with Data Vault 2.0 (dbt, snowflake)
● Participated in Azure DevOps and Pipelines
● Analyzing ETL operations and logs in Airflow

01.2021 - 06.2021
McKinsey & Company

● Analysis of data sources and data Ingestion (AWS S3, snapLogic, python,
snowpipe)
● Development Cycle Management by introducing prober git branching and
versioning mechanism
● Modeling of data according to Data Vault 2.0 standards (Snowflake, Wherescape)
● Creation of Business Vaults in consultation with the business users