Posted:2 months ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Design, develop, and optimize robust data models (conceptual, logical, and physical) to support analytics and business reporting needs.
  • Leverage Advanced SQL skills for efficient data querying, transformation, performance tuning, and optimization.
  • Build and maintain data pipelines on Google Cloud Platform (GCP) leveraging native services and tools.
  • Architect and implement scalable Data Warehousing (DWH) solutions for storing and analyzing large volumes of structured and semi-structured data.
  • Integrate data from ERP systems such as SAP and other enterprise platforms into centralized repositories.
  • Perform comprehensive data discovery, profiling, and validation to ensure data quality, trust, and compliance.
  • Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and deliver appropriate solutions.
  • Provide technical leadership and mentorship to junior engineers and ensure adherence to data engineering best Skills & Experience :
  • 10+ years of experience in Data Engineering and Data Modeling roles, with at least 5+ years in the Banking/Financial Services domain.
  • Expert-level proficiency in SQL complex query writing, performance tuning, and optimization (Rating : 10/10).
  • Strong hands-on expertise in data modeling including conceptual, logical, and physical schema design.
  • Practical experience with Google Cloud Platform (GCP) and its data services (e.g., BigQuery, Dataflow, Cloud Storage).
  • Proven experience in building and maintaining data warehouses for enterprise-scale analytics.
  • Familiarity with ERP data structures (e.g., SAP) and integrating ERP data into centralized data platforms.
  • High attention to data accuracy, governance, and validation standards.
  • Excellent problem-solving skills and ability to work independently in a fast-paced to Have :
  • Experience with other cloud platforms (AWS, Azure)
  • Exposure to data governance frameworks and tools
  • Prior experience working in Agile teams
(ref:hirist.tech)

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