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Cloud Kinetics

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Senior Data Engineer

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Description

Key Responsibilities:

  1. Design and build production-grade (ETL/ELT) pipelines using AWS services (e.g. Glue, Lambda, EMR, Step Functions.) and/or open-source solutions (e.g. Apache Spark, dbt) for various structured and unstructured data sources.
  2. Design and optimize data models, schemas, and data storage architectures for analytical workloads
  3. Design and implement data lake, data warehouse, and data lakehouse solutions to support data analytics platforms.
  4. Build BI dashboards and analytics visualization solutions using tools such as AWS QuickSight, PowerBI, or similar tools

Skills

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