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    Support Data Engineer - india, India - SourceBae

    SourceBae
    SourceBae india, India

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    Support Data Engineer

    Exp-5 yrs

    Time : PM IST

    Responsibilities

    This position is for an individual contributor who has the responsibility of comprehending and

    supporting product features from beginning to end. The role includes understanding data

    elements, UI components, and platform infrastructure in its entirety, while also providing L3

    support for queries raised by end users and stakeholders. This is a global role that entails

    collaborating with both regional Engineering teams and other global teams.

     Effectively triage and manage support tickets, ensuring proper categorization,

    documentation, and tracking of reported issues.

     Proficiency in Cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or

    Google Cloud Platform (GCP) is vital. This knowledge enables support personnel to

    understand and troubleshoot platform and data pipeline issues.

     Understanding data ingestion and Extraction, Transformation, and Loading (ETL)

    processes is crucial for resolving issues related to data pipeline activities.

     A strong understanding of Databricks and Apache Spark is preferred for troubleshooting

    data pipeline issues. This includes knowledge of Spark job execution, data ingestion,

    transformations, and optimizations.

     Proficiency in SQL is important for querying and manipulating data within Databricks.

    Additionally, knowledge of programming languages like Python or Scala enables support

    personnel to analyse and debug code related to data pipeline activities.

     The support personnel should be well-versed with data visualization and reporting

    concepts. This allows them to assist end users with actual issues on visualization and data

    components.

     The candidate needs to have in-depth knowledge of the platform infrastructure, including

    server architecture, networking, security protocols, API details, process flow and

    scalability. This enables them to troubleshoot issues related to the platform's performance

    and ensure its stability.

     This Support role require individuals who can quickly analyse complex issues, break them

    down into manageable components, and propose effective solutions.

     Take ownership of critical incidents, conduct thorough investigations, identify root causes,

    and perform in-depth problem analysis to prevent recurrence. Drive incident resolution

    through coordination with various internal teams

     Conduct in-depth root cause analysis for major incidents and recurring issues,

    documenting findings, and recommending long-term solutions or process improvements

    to prevent future occurrences.

     They should possess excellent problem-solving and analytical skills to address data and

    platform-related challenges.

     Clear and concise communication is crucial for L3 support roles. The support personnel

    must be able to understand user queries and relay technical information effectively,

    whether it providing step-by-step guidance or documenting issues and resolutions.

     Offer comprehensive user guidance and assistance, ensuring users can navigate the UI

    product and maximize its features.

     Collaborate with internal teams to escalate complex issues, communicate bug reports,

    usability concerns, and contribute to feature enhancement discussions.

     Conduct deep analysis and troubleshooting for L3 support, investigating complex UI-

    related problems, analysing logs, and performing root cause analysis.

     Identify opportunities to enhance support processes, tools, and workflows. Proactively seek

    ways to improve service quality, enhance customer satisfaction, and optimize support team

    efficiency.

     Prepare incident reports, post-mortems, or service outage notifications to keep

    stakeholders informed about the incidents, their root causes, and the steps taken to

    mitigate future risks.

     Familiarity with incident management tools like Jira, Zendesk, or ServiceNow is beneficial.

    Understanding the incident management process ensures proper tracking, prioritization,

    and resolution of support tickets related to data and platform features.

    Sounds like you? To apply you need to be:

    Experience & Education

     Bachelor degree in information science, Computer Science, Mathematics, Statistics or a

    quantitative discipline in science, business, or social science.

     Hands-on Support engineer who is curious about technology, should be able to quickly

    adopt to change and one who understands the technologies supporting areas such as

    Cloud Computing (AWS, Azure(preferred), etc.), Data concepts, Data debugging and

    understanding, Micro Services, UI features, Data Security, etc.

    Technical Skills & Competencies

     5+ years of experience as a data developer/Support Engineering on Python-spark, Azure

    SQL Server

     Hands-on Experience of building/maintaining Data Pipelines on Azure Databricks and well

    versed with CICD/DevOps process.

     Strong coding skills in languages like Python, SQL & Java are essential for understanding,

    troubleshooting and fixing data and platform features.

     Strong understanding of UI product features, functionality, and user experience.

     Proficient understanding of JavaScript and React JS, including the ability to identify and

    debug issues using logs and provide detailed information.

     Strong attention to detail, organizational skills, and the ability to prioritize tasks

    effectively.

     Team player, Reliable, self-motivated, and self-disciplined individual capable of executing

    on multiple projects simultaneously within a fast-paced environment working with cross

    functional teams

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