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Data Engineer

Skills

airflowawsazurebigqueryci cdcloudcloud composercloud nativedata engineeringdata pipelinesdataprocetlgcpgitpysparkpythonscalasparkversion controlPythonAWSGCPAzureSpark

Description

Job Title: Data Engineer (PySpark / Scala / Python)

Location: Remote

Job Description:

We are hiring a Data Engineer with strong hands-on experience in PySpark, Scala, and Python. You must have solid expertise in Apache Spark, as it will be the core technology used for building and managing large-scale data processing pipelines.

Experience with cloud platforms like Google Cloud Platform (GCP), Microsoft Azure, or AWS is a plus.

Required Skills:

  • Strong hands-on experience with Apache Spark

  • Proficient in PySpark

  • Experience in Scala and Python

  • Knowledge of ETL processes and data pipeline design

  • Understanding of distributed data processing

  • Familiarity with version control tools like Git

  • Basic knowledge of cloud platforms (GCP, AWS, or Azure)

Nice to Have:

  • Experience with cloud-native data tools (e.g., Dataproc, Glue, EMR, BigQuery)

  • Familiarity with workflow/orchestration tools like Airflow or Cloud Composer

  • Experience with CI/CD for data engineering

  • Exposure to both structured and unstructured data

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