I will do data engineering manager

Halid B

Israel

I speak English
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About this Gig
  1. Data Collection: This involves gathering data from various sources, such as databases, sensors, logs, APIs, and more. Data engineers develop systems to automate this process and ensure data is collected reliably and efficiently.
  2. Data Processing: Once data is collected, it often needs to be cleaned, transformed, and aggregated before it can be analyzed. Data engineers develop pipelines and workflows to process data at scale, using technologies like Apache Spark, Apache Flink, or cloud-based services like Google Cloud Dataflow or AWS Glue.
  3. Data Storage: Data engineers design and implement storage solutions that can handle the volume, velocity, and variety of data being generated. This includes traditional relational databases, NoSQL databases, data lakes, and distributed file systems like Hadoop HDFS or Apache HBase.
  4. Data Pipelines: Data pipelines are the workflows that move data through the various stages of processing and storage. Data engineers design and build these pipelines to ensure data flows smoothly and reliably from source to destination.
  5. Data Governance and Security: Data engineers implement policies and procedures to ensure data quality, integrity, and security.
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do data engineering manager
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do data engineering manager

Expertise:

Big data

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Data flow

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QA

•

SQL

Technology:

BigQuery

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Excel

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Google Sheets

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Java

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SQL

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NoSQL

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