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Principal Data Architect

2 weeks ago

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Job Overview

We are seeking a highly skilled Data Engineer to fill a key role within our organization.

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field with 3+ years of experience.
  • Proficient in Python, SQL, PySpark, and bash scripts with 3+ years of experience in developing and maintaining robust data pipelines for structured and unstructured data.
  • Experience working with Cloud Data Warehousing platforms (Redshift, Snowflake, Databricks SQL) and distributed frameworks like Spark.
  • Familiarity with Databricks platform, Delta Lake, Databricks Workflow, Job Clusters, Databricks CLI, and Databricks Workspace.
  • Solid understanding of machine learning life cycle, data mining, and ETL techniques.
  • Familiarity with machine learning libraries (scikit-learn, xgboost) and REST APIs.
  • Proficiency in containerization frameworks (Docker, Kubernetes), CI/CD tools (Jenkins), version control (Github, Bitbucket), and orchestration (Airflow, Prefect).

Key Skills:

  • Expertise in data engineering principles, software development lifecycle, and software engineering practices.
  • Strong proficiency in programming languages such as Python, SQL, and bash scripts.
  • Experience with Cloud Data Warehousing platforms and distributed frameworks.
  • Knowledge of machine learning life cycle, data mining, and ETL techniques.
  • Ability to work with cross-functional teams and excellent communication skills.

Requirements:

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
  • At least 3 years of experience in data engineering, software development, or a related field.
  • Proficiency in relevant technologies and tools.
  • Excellent communication and teamwork skills.