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    SRE Manager Big Data - Hyderabad/ Secunderabad, India - timesjobs

    timesjobs
    timesjobs Hyderabad/ Secunderabad, India

    1 month ago

    Default job background
    Full time
    Description
    Role & Responsibilities

    We are seeking a hands-on Manager who has experience leading large Big Data environments spread across thousands of nodes and petabytes of data.

    We look forward to a dynamic manager with a background & experience that looks like this:


    Grown into leadership roles after proving technical skills in individual contributor roles but still enjoys hands-on work when the situation calls for it.

    You have designed and built large data environments for availability, security, and reliability.
    You keep yourself informed about the choices and trade-off as the new technology evolves in big data landscape.
    You have an eye for talent and hire and grow your engineers by mentoring and challenging them.

    You will collaborate across many teams to deliver on projects related to big data platform and data pipeline and provide SRE support for reliability of these managed services.

    You will have a significant opportunity to influence and shape our big data platform strategy and data products as we work on the next generation of our architecture, platform, and processes.

    Education Requirements
    Minimum Bachelors degree in Computer Science, Engineering, Business Information Systems, or related field.
    Required Skills

    5 Years of Management experience leading a team of engineers
    Hands-on manager who likes troubleshooting complex performance and scale problems

    Excellent problem-solving, critical thinking, and communication skills Lead by example to motivate and challenge the team to deliver their best.

    8 years of experience in Hadoop-based technologies Hive, Pig, Map Reduce, Spark-SQL, Spark-Streaming, Python & PySpark, Kafka, Flume, and Scala
    Very good experience in GCP Big Query, Bigtable
    Good experience in APM tools like Dynatrace and log aggregation tools like Splunk
    Good experience in workflow management tools like Apache Airflow
    Familiarity with incident life cycle management tools like ServiceNow, Jira, Confluence, etc
    Zoom in and zoom out to clear out ambiguity and set a clear path forward
    Experience managing Hadoop clusters with hundreds of nodes and petabytes of data running thousands of jobs
    Have a passion for automation by creating tools to eliminate the toil
    Strong expertise in troubleshooting complex production issues.
    The candidate should be adept at prioritizing multiple issues in a high-pressure environment
    Should be able to understand complex architectures and be comfortable working with multiple teams
    Ability to conduct performance analysis and troubleshoot large scale distributed systems
    Should be highly proactive with a keen focus on improving uptime and availability of mission-critical services
    Comfortable working in a fast-paced environment while continuously evaluating emerging technologies
    Excellent communication, client engagement, and client management skills are strongly preferred.

    Required Skills
    SRE, BigData, GCP/BigQuery

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