Job
- Level
- Experienced
- Job Field
- IT, Data, DevOps
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Grasbrunn
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you independently develop cloud and on-prem data pipelines and implement technical data engineering concepts while collaborating closely with stakeholders and business units.
Job Technologies
Your role in the team
- DevOps is practiced throughout: You independently develop Cloud and On-prem Data Pipelines as the foundation of data platforms within a DevOps team.
- Based on the technical requirements, you develop technical Data Engineering concepts and implement them in code.
- 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 used purposefully to assist clients with Proof of Concepts and to realize client requirements in projects.
- You can independently carry out and manage smaller projects or subprojects as a Technical Project Manager.
- With your wealth of experience, you support less experienced team members as assistance within the team.
- You are always in close communication with the specialist departments and architects for project-related coordination, 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.
This text has been machine translated. Show original
Our expectations of you
Qualifications
- You have knowledge of various data storage technologies (SQL databases, Data Lake, Lakehouse).
- Solid knowledge of Python, SQL, JAVA, or Scala.
- Good knowledge of different data structures (relational, JSON, XML) and their processing capabilities (API, Batch, Messaging, Streaming).
- Good knowledge of data processing and analysis in the cloud, especially with AWS Lambda, Glue, Databricks, Snowflake, Microsoft Fabric, or dbt.
- Knowledge of code version control as well as CI/CD pipelines.
- Knowledge of container technologies such as Docker.
- Knowledge in Big Data processing and analysis with Spark.
- Knowledge of workflow management systems such as Airflow, AWS Data Pipelines, EKS, or Step Functions.
- You are experienced in working with stakeholders at various levels.
- Very good German and English skills: You are comfortable with the German language and English documentation, and you are involved when English is spoken during project work.
Experience
- You have at least 2 years of project experience, a good understanding of Data Engineering services, and knowledge of related services such as Streaming, Machine Learning, and Reporting.
- You enjoy supporting other Woodmarkers with your experience.
This text has been machine translated. Show original
Topics that you deal with on the job
Job Locations
This is your employer
Woodmark Consulting Ag
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.
Description
- Company Size
- 1-49 Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Cloud Data Engineer
- Location
- Grasbrunn
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
