EcoRatings Hiring Drive 2024 For Data Engineer | Location Noida

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EcoRatings Hiring Drive 2024: EcoRatings Hiring Drive 2024 for its Data Engineer. EcoRatings Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have a Bachelor’s degree in computer science, IT, or a related field. (Master’s is a plus). if you are interested, please apply as soon as possible.

Company Name: EcoRatings

Role: Data Engineer

Location: Noida

Experience: 0-2 years

Qualification: Bachelor’s degree in computer science, IT or related field. (Master’s is a plus)

Batch: Any

Job Type: Full Time

Salary: Best in Industry

EcoRatings Hiring Drive 2024

Requirements:

  • Bachelor’s degree in computer science, IT or related field. (Master’s is a plus)
  • 0-2 years of experience as a data engineer or data analyst.
  • Proficiency in programming languages such as Python or NodeJS.
  • Strong knowledge of SQL and experience with SQL/NoSQL databases (e.g., MySQL, MongoDB).
  • Proficient knowledge of statistics and ML algorithms.
  • Strong skills in performance tuning and optimization of databases and data pipelines.
  • Experience with big data technologies such as Hadoop/Spark.
  • Familiarity with cloud platforms like AWS/Google Cloud.

Responsibility:

  • Design, develop, and maintain robust ETL (Extract, Transform, Load) pipelines to ensure the smooth ingestion, processing, and storage of large datasets.
  • Manage and optimize SQL/NoSQL databases to ensure high performance, reliability, and scalability.
  • Implement data quality checks, validation processes, and monitoring systems to ensure the accuracy and integrity of data.
  • Optimize data storage and retrieval processes to improve query performance and reduce latency.

Company Overviwe:

  • EcoRatings is a sustainability-focused company based in Noida.
  • We have developed a GenAI solution called the “unified knowledge platform” that helps businesses achieve their sustainability and net-zero goals.
  • Our platform seamlessly unifies and queries large ESG (Environmental, Social, and Governance) data, ensures compliance with reporting standards, and analyzes ESG risks and opportunities in an enterprise environment.

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