Key skills
PythonJavaScalaSQLETLData EngineeringData WarehousingAnalyticsSnowflakeBigQueryRedshiftAirflowApache AirflowAWSAzureGoogle CloudPostgreSQLMySQLCommunicationCollaboration
About this role
Renous is a company seeking a Data Engineer to design, develop, and maintain scalable data pipelines and ETL processes. The role involves collaborating with cross-functional teams, optimizing database performance, and ensuring data integrity.
Responsibilities:
- Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from various sources
- Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
- Optimize and tune database queries and processes for performance and efficiency
- Implement data quality checks and validation procedures to ensure the integrity and accuracy of data
- Build and maintain data warehouses and data marts to support reporting and analytics needs
- Work closely with data scientists and analysts to provide access to structured and unstructured data for analysis and modeling
- Continuously evaluate and adopt new technologies and tools to enhance data processing capabilities and improve efficiency
- Document technical designs, processes, and procedures for data engineering projects
- Troubleshoot and resolve issues related to data pipelines, databases, and data infrastructure
- Stay up-to-date with industry trends and best practices in data engineering and related technologies
Requirements:
- Bachelor's degree in Computer Science, Engineering, or a related field
- 0-5 years of experience in data engineering or a similar role
- Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL)
- Strong programming skills in at least one scripting language (e.g., Python, Java, Scala)
- Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery)
- Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)
- Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform)
- Understanding of data modeling principles and techniques
- Excellent problem-solving and analytical skills
- Strong communication and collaboration skills, with the ability to work effectively in a team environment