Posted:19 hours ago|
Platform:
Work from Office
Full Time
- Productionize and deploy Big Data platforms and applications across multi-cloud environments (AWS, Azure, GCP).
- Build and manage data warehouse solutions, schema evolution, and data versioning.
- Implement and manage workflow orchestration using Airflow or similar tools.
- Work with complex business use cases and transform them into scalable data models and architectures.
- Collaborate with cross-functional teams to deliver high-quality data engineering and analytics solutions.
- 5+ years of experience in productionizing & deploying Big Data platforms.
- 3+ years of hands-on Databricks experience.
- Strong expertise with :
a. SQL, Python, Spark, Airflow
b. AWS S3, Redshift, Hive Data Catalog, Delta Lake, Parquet, Avro
- Streaming platforms (Spark Streaming, Kafka, Hive)
- Proven experience in building Enterprise Data Warehouses and implementing frameworks such as Databricks, Apache Spark, Delta Lake, Tableau, Hive Metastore, Kafka, Kubernetes, Docker, and CI/CD pipelines.
- Hands-on experience with Machine Learning frameworks (TensorFlow, Keras, PyTorch) and MLOps practices.
- Strong leadership, problem-solving, and communication skills.
Stanra Tech Solutions
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