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Open nowPosted 930 days ago

2818 - Data Engineer | 0 - 5 Y | Remote

Renous Extenserve Private Limited90 open roles

Where
Remote
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Remote
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Your applicationOpen now2818 - Data Engineer | 0 - 5 Y | RemoteRenous Extenserve Private Limited · Remote
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  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 930 days ago

The posting

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Job Location: Remote

Job Type: Contract

Job Responsibilities:-

  • Design, develop, and maintain scalable data pipelines and ETL processes to collect, process, and store large volumes of data from various sources
  • Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
  • Optimize and tune database queries and processes for performance and efficiency
  • Implement data quality checks and validation procedures to ensure the integrity and accuracy of data
  • Build and maintain data warehouses and data marts to support reporting and analytics needs
  • Work closely with data scientists and analysts to provide access to structured and unstructured data for analysis and modeling
  • Continuously evaluate and adopt new technologies and tools to enhance data processing capabilities and improve efficiency
  • Document technical designs, processes, and procedures for data engineering projects
  • Troubleshoot and resolve issues related to data pipelines, databases, and data infrastructure
  • Stay up-to-date with industry trends and best practices in data engineering and related technologies

Job Requirements:-

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 0-5 years of experience in data engineering or a similar role
  • Proficiency in SQL and experience working with relational databases (e.g., MySQL, PostgreSQL)
  • Strong programming skills in at least one scripting language (e.g., Python, Java, Scala)
  • Experience with data warehousing concepts and technologies (e.g., Snowflake, Redshift, BigQuery)
  • Familiarity with ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica)
  • Knowledge of cloud computing platforms and services (e.g., AWS, Azure, Google Cloud Platform)
  • Understanding of data modeling principles and techniques
  • Excellent problem-solving and analytical skills
  • Strong communication and collaboration skills, with the ability to work effectively in a team environment

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