Senior data / AI Engineer (Databricks)
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Job Description
🚀 Hiring: Senior Data / AI Engineer (Databricks)
Looking for a hands-on engineer with 6+ years of experience building large-scale data and AI platforms.
Key Skills & Experience:
- Databricks platform and distributed data processing
- Apache Spark ecosystem (PySpark / Spark SQL / Spark Streaming)
- Strong programming in Python, PySpark, SQL, or Scala
- Designing scalable data pipelines (batch & streaming)
- Data architecture, data modeling, and large-scale data processing
- Experience with Kafka or similar streaming technologies
- Building and managing data pipelines, clusters, notebooks, and jobs in Databricks
- Data transformation tasks: cleansing, aggregation, enrichment, normalization
- Experience with cloud platforms (Azure / AWS / GCP)
- Implementing DataOps / DevOps practices and CI/CD pipelines
- Exposure to machine learning frameworks (Spark MLlib, TensorFlow, PyTorch)
Experience in designing end-to-end data engineering solutions and migrating data platforms from on-premise to cloud environments is highly valued.
⚠️ Candidates with strong Databricks + Spark + production ML systems experience will be prioritized
.
If you have built real production data platforms or AI solutions, please DM or share your profile
.
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