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Data Engineer

Cognowiz
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  • Big Data Technologies: Proficiency in Hadoop, Spark, Kafka, or other relevant Big Data frameworks.Experience with Airflow is a must.
  • Data Warehousing and Data Marts: Experience with data warehousing concepts, ETL processes, and data mart implementation.
  • Database Technologies: Strong understanding of relational databases PostgreSQL, NoSQL databases, Relational Databases.
  • Data Modeling: Proficiency in data modeling techniques, including ER diagrams and dimensional modeling.
  • Data Quality Tools: Familiarity with data quality assessment and profiling tools.
  • Programming Languages: Knowledge of Python, SQL, or other programming languages relevant to data processing and analysis.
  • Cloud Platforms: Experience with cloud platforms (e.g., AWS, Azure) and cloud-based data services