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▷ (Urgent Search) Data Engineer

▷ (Urgent Search) Data Engineer

KaarTechIndia
9 hours ago
Job description

Key Responsibilities

  • Data Pipeline Development : Design, develop, and maintain scalable data pipelines to support various data analytics and reporting needs.
  • Data Integration : Integrate data from multiple sources and ensure data quality and consistency.
  • Data Modelling : Build and optimize data models using Spark to support complex data transformations and analysis.
  • SQL Development : Write efficient SQL queries to extract, transform, and load data into data warehouses and other storage solutions.
  • Big Data Processing : Utilize big data technologies, especially Apache Spark, to process and analyze large datasets.
  • Cloud Services : Implement and manage data solutions on cloud platforms such as Azure, AWS, or GCP.
  • Problem Solving : Analyze and resolve data-related issues, ensuring data accuracy and reliability.
  • Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

Required Skills and Qualifications

  • Education : Bachelor’s degree in Computer Science, Information Technology, or a related field.
  • Experience : 3 to 5 years of experience in data engineering or a related role.
  • Programming : Proficient in Python, with experience in data manipulation and automation scripts.
  • Big Data : Strong knowledge of big data technologies, especially Apache Spark.
  • SQL : Excellent skills in writing and optimizing SQL queries.
  • Data Modelling : Experience in data modelling and data architecture, particularly using Spark.
  • Cloud Platforms : Hands-on experience with at least one cloud platform (Azure, AWS, GCP).
  • Data Analytics Concepts : Solid understanding of data engineering and analytics concepts.
  • Problem Solving : Strong problem-solving skills with the ability to troubleshoot data issues effectively.
  • Communication : Good communication skills, with the ability to work collaboratively in a team environment.
  • Preferred Qualifications

  • Databricks : Experience with Databricks tool is a plus but not mandatory.
  • Certifications : Certifications in Databricks or Azure (or any relevant certifications) are highly
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