Talend Big Data Developer Job Description Template
As a Talend Big Data Developer, you will be responsible for building and maintaining effective data integration solutions using Talend. Your role will involve collaborating with data architects and business analysts to ensure optimal data flows and integration patterns, supporting the organization's analytics and business intelligence needs.
Responsibilities
- Design, develop, and implement data integration solutions using Talend.
- Collaborate with data architects to ensure data solutions meet business requirements.
- Optimize existing data pipelines for performance, scalability, and reliability.
- Create and maintain detailed technical documentation for developed solutions.
- Monitor data integration processes to identify and resolve issues promptly.
- Perform data quality and integrity checks to ensure accuracy.
- Work with cross-functional teams to gather and analyze data requirements.
- Develop and enforce best practices for data integration and ETL processes.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Proven experience as a Talend Developer in a big data environment.
- Strong understanding of ETL processes and data integration best practices.
- Experience working with large datasets and big data technologies.
- Ability to troubleshoot and resolve data pipeline issues effectively.
- Excellent analytical and problem-solving skills.
- Strong communication and teamwork abilities.
Skills
- Talend
- Big Data
- ETL
- Data Integration
- Hadoop
- Spark
- SQL
- Java
- Data Warehousing
- Data Quality
- Performance Tuning
- Technical Documentation
Frequently Asked Questions
A Talend Big Data Developer is responsible for designing, developing, and implementing data solutions using Talend’s big data integration tools. They work on data integration, transformation, and ETL processes. Their tasks include configuring Hadoop ecosystems, utilizing Spark and Kafka, and assuring data quality and consistency for effective data analytics.
To become a Talend Big Data Developer, one should start by gaining a strong foundation in computer science and data management concepts. Learning programming languages like Java, SQL, or Python is crucial. Acquiring a good understanding of big data technologies such as Hadoop, Spark, and developing proficiency in Talend Open Studio through certifications or courses is recommended for career advancement.
The average salary for a Talend Big Data Developer varies depending on location, experience, and the industry. Typically, their compensation reflects their expertise in big data integration and ETL processes, alongside knowledge of relevant tools and technologies. Industry demand for skilled Talend developers can also influence salary ranges significantly.
A Talend Big Data Developer typically needs a degree in computer science, information technology, or a related field. Employers often look for candidates with certifications in Talend or big data technologies. Hands-on experience with ETL tools, knowledge of Hadoop ecosystems, proficiency in data warehousing, and an understanding of data governance principles are also critical qualifications.
Key skills for a Talend Big Data Developer include proficiency in Talend, profound knowledge of big data frameworks like Hadoop, Spark, Kafka, and expertise in ETL processes. Responsibilities involve data mapping, debugging data discrepancies, improving data warehousing solutions, and collaborating with data analysts to ensure seamless data flow for enterprise analytics.