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Databricks Engineer (Airflow)

Databricks Engineer (Airflow)

DataE2E Technologies

7 years

|

0 Lacs

India

Posted:2 weeks ago| Platform:

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Skills Required

databricks airflow data engineering apache python sql spark pyspark scala aws azure gcp containerization orchestration docker kubernetes governance

Work Mode

Remote

Job Type

Full Time

Job Description

Job Title: Senior Data Engineer (Databricks & Airflow) Location: Remote Experience Level: 6–7 Years Employment Type: Full-time Required Qualifications: 6–7 years of experience in data engineering, with at least 3+ years working with Apache Airflow and Databricks in production environments. Strong proficiency in Python and SQL . Experience with Spark (PySpark/Scala), preferably in a Databricks environment. Experience building and managing data pipelines on AWS , Azure , or GCP . Solid understanding of data lake , data warehouse , and data mesh architectures. Familiarity with modern data formats like Parquet , Avro , Delta Lake , etc. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus. Strong understanding of data quality, observability, and governance best practices. Show more Show less

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