Posted:3 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Desired Competencies (Technical/Behavioral Competency)

Must-Have

  • Develop and deploy Databricks in a cloud environment, including workspace configuration, cluster management, and storage.
  • Experience with orchestration tools like Airflow, Prefect, Dagster, or Azure Data Factory pipelines.
  • Knowledge of distributed systems and big data frameworks (e.g Spark, Kafka, Hadoop).
  • Familiarity with containerization and CI/CD (Docker, GitHub Actions, Cloud Build, etc.).
  • Databricks and Snowflake proficiency is must ,Proficiency in at least one major platform:
  • AWS: Glue, S3, Lambda, Redshift, Athena, EMR
  • Azure: Data Factory, Synapse, ADLS Gen2, Databricks
  • GCP: Dataflow, BigQuery, Pub/Sub, Dataproc, Cloud Composer
  • Strong skills in SQL, Python, and data transformation logic.
  • Understanding of data governance, cataloging, and metadata management.

Good-to-Have

  • Cloud certifications.
  • Experience with modern data stacks (Snowflake, Delta Lake, Databricks).
  • Exposure to real-time processing frameworks (Kafka, Spark Streaming, Flink).
  • Knowledge of DevOps/MLOps principles or experience supporting ML workflows.

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