
Senior Cloud Data Developer
2 weeks ago
We are seeking a skilled Data Engineer to lead the development of large-scale data processing solutions. The ideal candidate will bring hands-on expertise in PySpark, Python, SQL, and real-time data streaming.
The successful candidate will contribute to the design and implementation of scalable data pipelines in cloud environments such as Azure.
This is a contract remote role requiring strong problem-solving skills, excellent written and verbal communication skills, and ability to work independently in a fast-paced environment.
- Design, develop, and optimize data pipelines using PySpark, Spark, and Python.
- Implement ETL/ELT solutions to integrate structured and unstructured data from multiple sources.
- Develop and maintain Hive queries and ensure seamless data transformations.
- Write and optimize SQL queries for large datasets.
- Build, monitor, and support 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, troubleshoot, and optimize code for performance and scalability.
The following qualifications are required:
- 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.
This is a contract role offering the opportunity to work on challenging projects and collaborate with cross-functional teams.
OthersThe ideal candidate will bring exposure to CI/CD pipelines for data solutions, knowledge of data governance and security best practices, and experience with Agile/Scrum methodology.
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