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4 days ago
Job Title: Data Engineer - Cloud Architect
Role OverviewThis is a contract remote opportunity for a seasoned Data Engineer with 3–4 years of experience in building, optimizing, and maintaining large-scale data processing solutions.
The ideal candidate will bring hands-on expertise in PySpark, Python, SQL, and real-time data streaming to contribute to the design and implementation of scalable data pipelines in cloud environments.
Key Responsibilities- 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.
- Collaborate with cross-functional teams to deliver data-driven solutions.
- 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.
- Excellent written and verbal communication skills.
- Exposure to CI/CD pipelines for data solutions.
- Knowledge of data governance and security best practices.
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