TalentAQ

TalentAQ

Big Data Engineer

EngineeringFull Time

Job Description

<h3>Overview</h3><p>We are looking for a Big Data Engineer to design, develop, and maintain our organization's big data infrastructure. The ideal candidate will have a strong background in data warehousing, ETL processes, and distributed computing frameworks. This role requires expertise in handling large datasets and building scalable data pipelines.</p><h3>Key Responsibilities</h3><ul><li>Design and implement big data solutions using Hadoop, Spark, and other related technologies.</li><li>Develop ETL processes to ingest, transform, and load data.</li><li>Monitor and optimize the performance of data pipelines.</li><li>Collaborate with data scientists and analysts to support their data needs.</li><li>Ensure data quality and security.</li></ul><h3>Required Skills</h3><ul><li>Proficiency in Hadoop, Spark, and related big data technologies.</li><li>Experience with data warehousing and ETL processes.</li><li>Strong programming skills in Java or Python.</li><li>Knowledge of cloud-based data platforms (e.g., AWS, Azure).</li></ul>

Overview

We are looking for a Big Data Engineer to design, develop, and maintain our organization's big data infrastructure. The ideal candidate will have a strong background in data warehousing, ETL processes, and distributed computing frameworks. This role requires expertise in handling large datasets and building scalable data pipelines.

Key Responsibilities

  • Design and implement big data solutions using Hadoop, Spark, and other related technologies.
  • Develop ETL processes to ingest, transform, and load data.
  • Monitor and optimize the performance of data pipelines.
  • Collaborate with data scientists and analysts to support their data needs.
  • Ensure data quality and security.

Required Skills

  • Proficiency in Hadoop, Spark, and related big data technologies.
  • Experience with data warehousing and ETL processes.
  • Strong programming skills in Java or Python.
  • Knowledge of cloud-based data platforms (e.g., AWS, Azure).

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