Senior Data Engineer

$150,000 - $180,000

Full Time


    • Bigdata technology
    • NoSQL
    • MongoDB
    • TensorFlow

    Job Description

    Senior Data Engineer, Support Services & Delivery

    Job description:

    As a Senior Data Engineer, Support Services & Delivery, your primary responsibility will be continuous monitoring of systems, software, and hardware. Support engineers assist customers with tech support concerns and challenges, and also recommend solutions to address needs they may have.



    • Strong verbal and written communication skills
      • Provide prompt and accurate feedback to customers, with proactive communication.
      • Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams.
      • Prepare accurate and timely reports to the business.
      • Document knowledge in the form of knowledge base tech notes and articles
      • Research, diagnose, troubleshoot, and identify solutions to resolve customer issues.
      • Follow standard procedures for proper escalation of unresolved issues to the appropriate internal teams.
      • Take ownership of customer issues reported and see problems through to resolution.
      • Ensure proper recording and closure of all issues.
      • Follow the SLA for issues with respect to the severity.
      • Assure governance of processes in delivery management and production as per the selected delivery model
      • Establish a strategy of continuous delivery risk management that enables proactive decisions and actions throughout the delivery life cycle.
      • Measure and improve delivery productivity for all L1 and L2 support engineers.


    We’re excited about you if you have:

    • Good understanding of data engineering challenges and proven experience with data platform engineering (batch and streaming, ingestion, storage, processing, management, integration, consumption)
    • At least 5 years of experience in gathering and understanding customer business requirements to introduce Big Data technologies.
    • Familiar with multiple Big Data technology stacks (e.g., Hadoop, Yarn, HDFS, MapReduce, Hive, Spark, Kafka, etc.)
    • Experience with data visualization, aware of various tools, technologies
    • Good understanding of various delivery approaches, well-versed in agile
    • Understanding data-related security challenges
    • Experience with one or more leading cloud providers (AWS/Azure/Google Cloud Platform), leading role in on-prem to cloud migration project(s)
    • Ability to manage multiple tasks and projects in a fast-moving environment.
    • Experience working with marketing data structures using Google Cloud Storage, Cloud SQL, Google Cloud Platform Cloud Data Flow, Google Cloud Data Prep, BigQuery & Compute Engine, Cloud Big Table, and Cloud CDN for Google Marketing & G Suite.
    • Experience working in an agile team.
    • Familiar with scaling microservices in high-traffic environments.
    • Experience with performance management, logging, and monitoring tools
    • Experience with common open-source technologies at scale, such as Kafka, Cassandra, MongoDB, Nginx, Redis, ElasticSearch
    • Experience in building multi-tier, high-availability applications with modern web technologies such as NoSQL, MongoDB, SparkML, and TensorFlow.
    • Problem-Solving Skills: be able to look at an issue that needs to be solved and come up with solutions quickly.