Job
In this role, you will independently develop data platforms, create technical concepts, and implement them in cloud architectures while collaborating closely with clients and team members.
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Job technologies
Your role in the team
- DevOps is practiced throughout: You independently develop cloud and on-premise data platforms and data provisioning processes within a DevOps team.
- Based on the technical requirements, you develop technical Data Engineering concepts, implement them in code, and integrate them seamlessly into overarching architectures.
- Your knowledge of various forms of technology, supported by appropriate tools (Coding, ETL, Data Prep, Streaming), data storage systems (Blob Stores, SQL, NoSQL, Document, Node databases), and cutting-edge modeling techniques is effectively utilized to assist clients with Proof of Concepts and to realize client requirements in projects.
- A project-related coordination and collaboration with architects, specialist departments, and decision-makers leads to the successful implementation of projects.
- You can independently execute and manage larger projects as a Technical Project Manager.
- With your extensive experience, you set the direction for data engineering processes and mentor less experienced team members.
- You are always in close communication with your clients to ensure professional expectation management and their satisfaction, with your project team to guarantee project success, and of course with the Woodmark team to strengthen knowledge exchange and mutual support.
Our expectations of you
Qualifications
- You have a deep understanding of different data structures (relational, JSON, XML) and the derivation of suitable storage formats in layer models (3NF, Data Vault, Star Schema).
- You have an extensive understanding of Data Engineering Services and their integrative integration into other services such as Streaming, Machine Learning, and Reporting.
- You possess advanced knowledge of workflow management systems such as Airflow, AWS Data Pipelines, EKS, Lambda, EventBridge, or Step Functions.
- You have knowledge of multiple different data storage technologies (SQL databases, Data Lakes, Data Lakehouses, Document databases, Node databases).
- You have extensive knowledge of SQL.
- You have programming skills in Python, JAVA, or Scala, and Spark knowledge.
- You are experienced in working with stakeholders at various levels.
- Fluent in German and English: You are comfortable with the German language and English documentation, and you are present when English is spoken during project work.
Experience
- Since you already have at least three years of experience in Data Engineering, you possess an excellent understanding of data and in-depth knowledge of data transformation, especially in the cloud with AWS Glue or Databricks.
- You enjoy supporting other Woodmarkers with your experience.
Topics you will work on
Job locations
About your employer
Woodmark Consulting AG ist spezialisiert auf die Bereiche Analytics und Big Data. Unser Dienstleistungsportfolio reicht von der BI-Strategie, über Predictive Analytics, Analyse-, Planungs- und Steuerungssystemen bis zu den Themen Data Integration, Data Quality, Data Warehouse und Big Data.
- 1-49 Employees
- Established Company
- Hybrid, Onsite
- Consulting · Internet, IT, Telecommunication
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