Agilisium Consulting

Data Architect

Chennai, TN, IN

2 months ago
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Summary

Skills And Experience

  • A minimum of 10+ years of experience in data architecture and analytics.
  • Databricks: Proficiency in Databricks for data processing, machine learning, and analytics.
  • Cloud Platforms: Strong experience with any one or more cloud platforms such as AWS, Azure, GCP, and the ability to integrate Databricks with them.
  • Data Engineering: Strong experience engineering concepts, data modelling, and ETL processes.
  • SQL: Advanced SQL skills for data querying, transformation, and analysis.
  • Python: Proficiency in Python programming for data manipulation, scripting, and automation.
  • Apache Airflow: Strong experience with Apache Airflow for orchestrating and scheduling ETL workflows.
  • Big Data Technologies: Familiarity with big data technologies like Spark, Hadoop, and related frameworks.
  • Data security best practices and compliance standards.
  • Data Modelling: Understanding of data modelling principles and best practices.
  • Data Warehousing: Knowledge of data warehousing concepts and best practices.
  • Version Control: Proficiency in version control systems such as Git.
  • Communication: Excellent communication and collaboration skills to work effectively with cross-functional teams.
  • Relevant certifications in Databricks and cloud platforms are advantageous.

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