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  • Data Engineering Leader at Tiger Analytics - Richardson - Tiger Analytics

    Tiger Analytics
    Tiger Analytics Richardson

    1 month ago

    Default job background
    Full time
    Description
    Job Overview
    Tiger Analytics is a pioneering AI and analytics consulting firm, leveraging data and technology to drive impactful solutions globally. With a strong presence in Silicon Valley and across the globe, we foster an expert-driven culture with a team-first approach.

    About the Role
    We're seeking a highly skilled Data Engineering Leader to join our team as a Principal Data Engineer (Azure). This role offers a unique opportunity for significant career development in a fast-growing entrepreneurial environment with high individual responsibility.

    Responsibilities
    - Design and implement scalable metadata-driven data ingestion pipelines using Azure Data Factory (ADF), PySpark, Databricks, and ADLS.
    - Conceptualize and execute high-performance data processing for structured and unstructured data, including data harmonization.
    - Schedule, orchestrate, and validate pipelines, ensuring seamless execution and minimal downtime.
    - Collaborate with peers to make tech stack and tools-related decisions, driving innovation and efficiency.
    - Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines and deliver analytical solutions.

    Requirements
    - Experience in implementing Data Lakes with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS, and Azure SQL Database.
    - Strong foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB, and Purview.
    - Passion for writing high-quality code, with skills in modular, scalable, and bug-free programming (SQL, Python, or Scala/Java).
    - Ability to collaborate with various stakeholders across the organization and take ownership of deliverables.
    - Experience with big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search.
    - Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV.
    - Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or Lakehouse projects.
    - Experience supporting BI and Data Science teams in consuming data securely and governedly.
    - Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are valuable additions.

    What We Offer
    This position provides an exceptional compensation package, with salary estimates ranging from $180,000 to $250,000 per annum, depending on expertise and location. Benefits include comprehensive health insurance, retirement plans, paid time off, and professional growth opportunities.

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