Dein persönlicher KI-Karriere-Agent
Data Engineer(m/w/x)
Designing and building data pipelines for affiliate marketing and recruitment software solutions. Proficiency with SQL/NoSQL databases and Apache Spark/Hadoop frameworks required. Comprehensive health, dental, and vision benefits.
Anforderungen
- Proven experience as Data Engineer, Data Analyst, or similar data role
- Strong knowledge of data engineering principles, modeling, architecture
- Proficiency with databases (SQL, NoSQL) and data processing frameworks (Apache Spark, Hadoop)
- Experience with ETL tools, processes, data integration, transformation
- Familiarity with cloud platforms and data storage solutions (AWS, Azure, Google Cloud)
- Knowledge of Python, Java, or Scala for data processing
- Experience with data warehousing (Redshift, BigQuery, Snowflake) and data pipelines
- Strong analytical and problem-solving skills
- Ability to work in fast-paced environment and collaborate
- Bachelor’s degree in Computer Science, Engineering, or related field
Aufgaben
- Design scalable data pipelines
- Build efficient data pipelines
- Maintain data pipelines
- Integrate data from various sources
- Develop data warehouses and data lakes
- Manage data warehouses and data lakes
- Optimize data for analysis
- Implement and optimize ETL processes
- Manage SQL and NoSQL databases
- Optimize database performance
- Monitor data pipelines
- Identify and resolve pipeline issues
- Ensure high data quality and integrity
- Collaborate with data scientists and analysts
- Understand data requirements
- Provide data access
- Align data solutions with business goals
- Implement automation strategies
- Optimize data processing workflows
- Optimize and fine-tune data processes and queries
- Document data pipelines, workflows, and best practices
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- NoSQL
- Apache Spark
- Hadoop
- ETL tools
- AWS
- Azure
- Google Cloud
- Python
- Java
- Scala
- Redshift
- BigQuery
- Snowflake
Benefits
Gesundheits- & Fitnessangebote
- Health coverage
- Dental coverage
- Vision coverage
Startup-Atmosphäre
- Dynamic, collaborative, and innovative work environment
Karriere- und Weiterentwicklung
- Career growth opportunities
Weiterbildungsangebote
- Skill development opportunities
Flexibles Arbeiten
- Flexible work environment
- Work-life balance focus
Noch nicht perfekt?
- AwinVollzeitmit HomeofficeSeniorBerlin, Hannover, München
- InterWorks
Data Engineer(m/w/x)
VollzeitRemoteBerufserfahrenBerlinab 100.000 / Jahr - GROPYUS
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - meinUnterricht GmbH
Senior Data Engineer / Data Business Partner(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - dda diconium data GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeManagementBerlin
Data Engineer(m/w/x)
Designing and building data pipelines for affiliate marketing and recruitment software solutions. Proficiency with SQL/NoSQL databases and Apache Spark/Hadoop frameworks required. Comprehensive health, dental, and vision benefits.
Anforderungen
- Proven experience as Data Engineer, Data Analyst, or similar data role
- Strong knowledge of data engineering principles, modeling, architecture
- Proficiency with databases (SQL, NoSQL) and data processing frameworks (Apache Spark, Hadoop)
- Experience with ETL tools, processes, data integration, transformation
- Familiarity with cloud platforms and data storage solutions (AWS, Azure, Google Cloud)
- Knowledge of Python, Java, or Scala for data processing
- Experience with data warehousing (Redshift, BigQuery, Snowflake) and data pipelines
- Strong analytical and problem-solving skills
- Ability to work in fast-paced environment and collaborate
- Bachelor’s degree in Computer Science, Engineering, or related field
Aufgaben
- Design scalable data pipelines
- Build efficient data pipelines
- Maintain data pipelines
- Integrate data from various sources
- Develop data warehouses and data lakes
- Manage data warehouses and data lakes
- Optimize data for analysis
- Implement and optimize ETL processes
- Manage SQL and NoSQL databases
- Optimize database performance
- Monitor data pipelines
- Identify and resolve pipeline issues
- Ensure high data quality and integrity
- Collaborate with data scientists and analysts
- Understand data requirements
- Provide data access
- Align data solutions with business goals
- Implement automation strategies
- Optimize data processing workflows
- Optimize and fine-tune data processes and queries
- Document data pipelines, workflows, and best practices
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SQL
- NoSQL
- Apache Spark
- Hadoop
- ETL tools
- AWS
- Azure
- Google Cloud
- Python
- Java
- Scala
- Redshift
- BigQuery
- Snowflake
Benefits
Gesundheits- & Fitnessangebote
- Health coverage
- Dental coverage
- Vision coverage
Startup-Atmosphäre
- Dynamic, collaborative, and innovative work environment
Karriere- und Weiterentwicklung
- Career growth opportunities
Weiterbildungsangebote
- Skill development opportunities
Flexibles Arbeiten
- Flexible work environment
- Work-life balance focus
Über das Unternehmen
SkillersZone LLC
Branche
IT
Beschreibung
SkillersZone LLC provides affiliate marketing and recruitment software solutions to optimize business processes.
Noch nicht perfekt?
- Awin
Data Engineering Manager(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin, Hannover, München - InterWorks
Data Engineer(m/w/x)
VollzeitRemoteBerufserfahrenBerlinab 100.000 / Jahr - GROPYUS
Data Engineer(m/w/x)
Vollzeitmit HomeofficeBerufserfahrenBerlin - meinUnterricht GmbH
Senior Data Engineer / Data Business Partner(m/w/x)
Vollzeitmit HomeofficeSeniorBerlin - dda diconium data GmbH
Senior Data Engineer(m/w/x)
Vollzeitmit HomeofficeManagementBerlin