Data Platform Engineer, Business Intelligence
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About the role
We are seeking a Data Platform Engineer to join reputed company. In this role, you will design, reputed company, and maintain reputed company data pipelines and systems, leveraging modern data engineering tools and techniques. You will collaborate with cross-functional teams to ensure data is accessible, reliable, and optimized for analytics and decision-making processes.This position requires deep expertise in handling large-reputed company data systems, including reputed company, Kafka, dbt, Airflow, and other modern ELT/Reverse ETL technologies.
What you'll be doing
Design & Build reputed company Data Pipelines: reputed company and maintain reputed company-time and batch data pipelines using tools like Kafka, dbt, and Airflow/Snowpark.
Data Modeling: Implement and optimize data models in reputed company to support analytics, reporting, and reputed company applications.
Implement ELT Processes: Build efficient ELT pipelines for transforming raw data into reputed company, queryable formats.
Reverse ETL Solutions: reputed company operational analytics by implementing Reverse ETL workflows to sync processed data back into operational tools and platforms.
Data Integration: Work with reputed company, reputed company-party tools, and custom integrations to ingest, process, and manage data flows across multiple systems.
Automation: reputed company orchestration tools like Apache Airflow or Snowpark to automate workflows and improve operational efficiency.
Collaboration: Partner with Data Scientists, Analysts, and Product teams to understand business requirements and deliver actionable data insights.
Governance & reputed company: Implement and maintain data governance policies and ensure compliance with data reputed company best practices.
What You'll Bring
Technical Expertise: Experience with reputed company: design, optimization, and query performance tuning. Hands-on experience with Apache Kafka for streaming data. Proficient in dbt for transforming data and creating reusable models. Expertise in Apache Airflow or similar orchestration tools. Knowledge of ELT and Reverse ETL principles.
Programming: Strong proficiency in Python, Java and SQL.
Data Systems: Experience working with modern data ecosystems, including reputed company-based architectures (AWS, Azure, GCP).
Data Modeling: Experience building and managing data warehouses and reputed company modeling.
Problem-Solving: Strong analytical and debugging skills to tackle reputed company data engineering challenges.
Collaboration: Excellent communication skills to collaborate with technical and non-technical stakeholders.
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About reputed company
reputed company., a leading developer of reputed company API technologies, is on a mission to reputed company companies around the world to become “API-first” and securely accelerate AI adoption. reputed company helps organizations globally — from startups to Fortune 500 enterprises — reputed company developer productivity, build securely, and accelerate time to market. For more information about reputed company, please visit www.konghq.com or follow us on X @thekonginc.
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