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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- NoSQL
- Apache Spark
- Hadoop
- ETL tools
- AWS
- Azure
- Google Cloud
- Python
- Java
- Scala
- Redshift
- BigQuery
- Snowflake
Benefits
Healthcare & Fitness
- Health coverage
- Dental coverage
- Vision coverage
Startup Environment
- Dynamic, collaborative, and innovative work environment
Career Advancement
- Career growth opportunities
Learning & Development
- Skill development opportunities
Flexible Working
- Flexible work environment
- Work-life balance focus
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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.
Requirements
- 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
Tasks
- 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
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- SQL
- NoSQL
- Apache Spark
- Hadoop
- ETL tools
- AWS
- Azure
- Google Cloud
- Python
- Java
- Scala
- Redshift
- BigQuery
- Snowflake
Benefits
Healthcare & Fitness
- Health coverage
- Dental coverage
- Vision coverage
Startup Environment
- Dynamic, collaborative, and innovative work environment
Career Advancement
- Career growth opportunities
Learning & Development
- Skill development opportunities
Flexible Working
- Flexible work environment
- Work-life balance focus
About the Company
SkillersZone LLC
Industry
IT
Description
SkillersZone LLC provides affiliate marketing and recruitment software solutions to optimize business processes.
Not a perfect match?
- Awin
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