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Google Cloud Platform Data Engineer- Data Warehouse and Hadoop/Big Data

Salary undisclosed

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  • Minimum 10 years
    Bachelor s degree in Computer Science, Computer Engineering, or a software-related discipline. A Master s degree in a related field is an added plus
    6 + years of experience in Data Warehouse and Hadoop/Big Data
    3+ years of experience in strategic data planning, standards, procedures, and governance
    4+ years of hands-on experience in Python or Scala
    4+ years of experience in writing and tuning SQL, Spark queries
    3+ years of experience working as a member of an Agile team
    Experience with Kubernetes and containers is a plus
    Experience in understanding and managing Hadoop Log Files.
    Experience in understanding Hadoop multiple data processing engines such as interactive SQL, real-time streaming, data science and batch processing to handle data stored in a single platform in Yarn.
    Experience in Data Analysis, Data Cleaning (Scrubbing), Data Validation and Verification, Data Conversion, Data Migrations and Data Mining.
    Experience in all the phases of Data warehouse life cycle involving Requirement Analysis, Design, Coding, Testing, and Deployment., ETL Flow
    Experience in architecting, designing, installing, configuring and managing Apache Hadoop Clusters
    Experience in analyzing data in HDFS through Map Reduce, Hive and Pig
    Experience building and optimizing big data data pipelines, architectures and data sets.
    Strong analytic skills related to working with unstructured datasets
    Experience in Migrating Big Data Workloads
    Experience with data pipeline and workflow management tools: Airflow
    Experience with scripting languages: Python, Scala, etc.
    Cloud Administration
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