
High-Performance Data Architect
6 days ago
We are seeking a highly motivated data engineer to join our team. The ideal candidate will bring hands-on expertise in PySpark, Python, SQL, and real-time data streaming.
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 cloud services (e.g., Data Lake, Synapse, Azure Databricks).
- Debug, troubleshoot, and optimize code for performance and scalability.
- Collaborate with cross-functional teams to deliver data-driven solutions.
- Adhere to best practices for coding, testing, and deployment.
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 cloud services (preferred: Data Lake, Synapse, Databricks).
- Experience working with Apache Kafka or other real-time streaming technologies.
- Strong problem-solving and debugging skills.
- Excellent written and verbal communication skills.
- Ability to work independently in a fast-paced environment and adapt to new technologies quickly.
Nice-to-Have Skills:
- Exposure to CI/CD pipelines for data solutions.
- Knowledge of data governance and security best practices.
- Experience with Agile/Scrum methodology.
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