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Data Engineer
1 month ago
Job Description :
- Design and develop real-time data ingestion pipelines using Databricks and Spark Streaming to enable timely processing of large volumes of data.
- Implement complex data transformations and aggregations to extract actionable insights from streaming data sources.
- Collaborate with data scientists, analysts, and business stakeholders to understand requirements and translate them into scalable data solutions.
- Optimize and tune data processing workflows for performance, reliability, and scalability.
- Work closely with platform and infrastructure teams to ensure seamless integration of data pipelines with existing systems and technologies.
- Stay updated with the latest advancements in data engineering, streaming technologies, and best practices to drive continuous improvement and :
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- Proven experience working with Databricks, Spark, and PySpark in real-time data processing environments.
- Strong understanding of streaming data architectures, messaging systems (e.g., Kafka), and data serialization formats (e.g., Avro, Parquet).
- Hands-on experience with designing and implementing scalable data pipelines for real-time analytics use cases.
- Proficiency in SQL and data modeling concepts.
(ref:hirist.tech)
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