We are looking for a Data Scientist with Data Engineering skills to bridge the gap between data science and data infrastructure. In this role, you will build scalable data pipelines , develop machine learning models , and optimize big data workflows to support data-driven decision-making.
Responsibilities: Programming: Python (Pandas, NumPy, PySpark), SQL, Bash
Machine Learning: Scikit-learn, TensorFlow/PyTorch (basic knowledge)
Data Engineering Tools: Apache Spark, Hadoop, Airflow, dbt
Databases: PostgreSQL, MySQL, MongoDB, Cassandra
Cloud Platforms: AWS (S3, Redshift, Glue), GCP (BigQuery, Dataflow), Azure (Synapse, Data Factory)
Big Data & Streaming: Kafka, Flink (nice to have)
DevOps & Deployment: Docker, Kubernetes, Git, CI/CD
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