Data Engineer
We are looking for a skilled Data Engineer to join our growing team. You will design and maintain scalable data pipelines, integrate cloud platforms, and ensure data quality and :
- Develop and maintain data pipelines for collecting, processing, and transforming data.
- Develop and optimize data solutions using AWS, Azure, or GCP.
- Write efficient code for ETL processes and data manipulation using Python / PySpark.
- Design data models aligned with business needs.
- Implement data validation checks and troubleshoot data issues.
- Enhance pipeline and query performance.
- Collaborate with data scientists, analysts, and stakeholders to deliver reliable datasets.
- Maintain documentation of workflows and pipelines.
- Apply best practices for data security and compliance.
Preferred Skills :
Experience with DBT (Data Build Tool)Familiarity with Docker and KubernetesKnowledge of data streaming technologies (e.g., Kafka, Spark Streaming)Experience with Apache Airflow or similar workflow management toolsCloud certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)Understanding of data governance and cataloging practicesQualifications :
Bachelors degree in Computer Science, Engineering, or related field3+ years of data engineering experienceStrong problem-solving skillsExcellent communication and collaboration skills(ref : hirist.tech)