Senior Data Processing Specialist
6 days ago
Job Overview
We are seeking a skilled Data Processing Specialist to design, develop and optimize large-scale data processing solutions using advanced technologies like PySpark and Python.
Key Responsibilities
- Create efficient data pipelines in cloud environments such as Azure.
- Develop ETL/ELT solutions to integrate structured and unstructured data from multiple sources.
- Maintain Hive queries and ensure seamless data transformations.
- Write and optimize SQL queries for large datasets.
- Design real-time streaming solutions using Apache Kafka.
- Work on Databricks to create, manage and optimize data workflows.
- Deploy and manage solutions in Azure cloud services.
- Debug and troubleshoot code for performance and scalability.
Required Skills & Qualifications
- 3–4 years of experience in data engineering with a focus on PySpark and Python.
- Strong knowledge of Spark, Hive, SQL and Unix shell scripting.
- Experience with Databricks in a production environment.
- Hands-on experience with Azure cloud services.
- Experience working with Apache Kafka or other real-time streaming technologies.
- Strong problem-solving and debugging skills.
Nice-to-Have Skills
- Exposure to CI/CD pipelines for data solutions.
- Knowledge of data governance and security best practices.
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