
Data Pipeline Specialist
2 days ago
Job Description
The primary focus of this role is to design, implement, and maintain efficient data pipelines. This includes integrating data from various sources, optimizing existing pipelines for improved performance and scalability, and ensuring the accuracy and reliability of data used in analytics and reporting.
Key Responsibilities:
- Data Pipeline Development: Utilize programming languages such as Python or Scala to develop and maintain data pipelines, ensuring they meet the needs of the organization.
- Data Warehouse Management: Develop and maintain the data warehouse architecture, implementing data modeling techniques to optimize data storage and retrieval.
- Data Quality Assurance: Implement data quality checks and monitoring systems to ensure the accuracy and reliability of data used in analytics and reporting.
- Big Data Technologies: Utilize big data technologies such as Hadoop and Spark to process and analyze large volumes of customer data efficiently.
- Data Governance: Collaborate with stakeholders to implement data governance policies and procedures, ensuring compliance with data privacy regulations and internal data management standards.
Technical Skills:
- Proficiency in programming languages such as Python or Scala.
- Experience with ETL tools such as Apache NiFi, Talend, and Informatica.
- Familiarity with data visualization tools such as Tableau and PowerBI.
- Understanding of container technologies such as Docker and orchestration tools such as Kubernetes.
Benefits:
- Opportunity to work with a variety of data technologies.
- Chance to collaborate with a team of experienced professionals.
- Flexibility to work on diverse projects.
About This Role
This is an exciting opportunity for individuals who are passionate about working with data and technology. If you have experience in data engineering and are looking for a new challenge, please consider applying for this position.
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