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    analyst - technical services - Hyderabad, India - Coforge

    Coforge
    Coforge Hyderabad, India

    4 days ago

    coforge background
    Description

    Job Description

    "Must Have:Design and develop efficient data pipelines using Python and orchestrate workflows with Airflow, ensuring reliable data ingestion, transformation, and storage.Utilize Spark (Glue, EMR) for largescale data processing tasks, optimizing for performance and scalability.Implement and manage streaming data solutions with Kafka, managing high-volume data with proficiency in SQS and Event Bridge for even- driven architectures.Leverage AWS services extensively, including S3 for data storage, ensuring best practices in cloud-based data handling and security.Work closely with data architects, analysts, and other stakeholders, providing technical expertise and support in data-related projects and initiatives.Good to Have:Knowledge of Data Warehousing (DW) concepts and Data Integration (DI) methodologies.Experience with data modelling and familiarity with ETL processes and tools.Experience in API integration, with a solid understanding of RESTful services.Developing and consuming APIs to facilitate seamless data exchange and system interoperability.Qualifications:Bachelor?s degree in Computer Science, Engineering, Data Science, or related field.5-7 years of relevant experience in data engineering, with a proven track record of developing and managing data solutions.Strong proficiency in Python and experience with Airflow for data pipeline management.Expertise in Spark for big data processing, with experience in Glue and/or EMR.Demonstrated experience with Kafka for real-time data streaming and familiarity with AWS messaging services like SQS and Event Bridge.In-depth knowledge of AWS cloud services, especially S3, and best practices in cloud security and data management."

    Posted On "Must Have:Design and develop efficient data pipelines using Python and orchestrate workflows with Airflow, ensuring reliable data ingestion, transformation, and storage.Utilize Spark (Glue, EMR) for largescale data processing tasks, optimizing for performance and scalability.Implement and manage streaming data solutions with Kafka, managing high-volume data with proficiency in SQS and Event Bridge for even- driven architectures.Leverage AWS services extensively, including S3 for data storage, ensuring best practices in cloud-based data handling and security.Work closely with data architects, analysts, and other stakeholders, providing technical expertise and support in data-related projects and initiatives.Good to Have:Knowledge of Data Warehousing (DW) concepts and Data Integration (DI) methodologies.Experience with data modelling and familiarity with ETL processes and tools.Experience in API integration, with a solid understanding of RESTful services.Developing and consuming APIs to facilitate seamless data exchange and system interoperability.Qualifications:Bachelor?s degree in Computer Science, Engineering, Data Science, or related field.5-7 years of relevant experience in data engineering, with a proven track record of developing and managing data solutions.Strong proficiency in Python and experience with Airflow for data pipeline management.Expertise in Spark for big data processing, with experience in Glue and/or EMR.Demonstrated experience with Kafka for real-time data streaming and familiarity with AWS messaging services like SQS and Event Bridge.In-depth knowledge of AWS cloud services, especially S3, and best practices in cloud security and data management." Skills Required

    PYTHON

    Posted On PYTHON Location

    Hyderabad

    Posted On Hyderabad Desirable Skills

    AWS EMR, KAFKA AND STORM, SPARK

    Posted On AWS EMR, KAFKA AND STORM, SPARK
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