
Senior Big Data Architect
2 days ago
Role Overview
We are seeking a highly motivated data expert with experience in building, optimizing and maintaining large-scale data processing solutions.
- Develop robust data pipelines using Spark, Python and Hadoop technologies.
- 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 and other streaming technologies.
- Work on cloud platforms to create, manage and optimize data workflows.
- Deploy and manage solutions in cloud services like AWS or Azure.
- Debug, troubleshoot and optimize code for performance and scalability.
- Collaborate with cross-functional teams to deliver data-driven solutions.
Required Skills & Qualifications
- 3-4 years of experience in data engineering with a focus on big data and cloud technologies.
- Strong knowledge of Spark, Hive, SQL, and Unix shell scripting.
- Experience working with cloud services like Data Lake, Synapse and Databricks.
- Hands-on experience with big data tools like Hadoop, Pig and MapReduce.
- Excellent problem-solving and debugging skills.
- Strong written and verbal communication skills.
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