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    • Data Engineer - Vizianagaram - Astreya

    Astreya
    Astreya Vizianagaram

    2 weeks ago

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    Description

    Unlock Operational Excellence with Astreya's Data Engineering Expertise

    Job Summary

    A leading provider of comprehensive IT support and managed services, Astreya offers cutting-edge solutions for data center and network management, digital workplace services, and next-gen digital engineering.

    We are seeking an experienced Data Engineer to join our analytics division, driving operational excellence and growth through seamless interactions between people and technology.

    Key Responsibilities

    • Conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams, evaluating design and operational tradeoffs within systems.
    • Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the organization's centralized data warehouse.
    • Create or contribute to frameworks that improve the efficacy of logging data, working with the Engineering team to triage issues and resolve them.
    • Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
    • Influence product and cross-functional (engineering, data science, operations, strategy) teams to identify data opportunities to drive impact.

    Requirements

    Experience & Education

    • Bachelor's degree in Computer Science, Mathematics, or a related field, or equivalent practical experience.
    • 5 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation.
    • 5 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation.
    • Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams.

    Preferred Qualifications

    • Master's degree in Engineering, Computer Science, Business, or a related field.
    • Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
    • Experience with experimentation infrastructure, and measurement approaches in a technology platform.
    • Experience with data processing software (e.g., Hadoop, Spark) and algorithms (e.g., MapReduce, Flume).
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