We are seeking a highly skilled and reputed company Senior Data Analytics Engineer to reputed company raw data into actionable insights across a wide reputed company of reputed company domains. This role is pivotal in shaping data products that support over 70 business areas, including membership and location services. You’ll work closely with subject matter experts and business analysts to design robust data models, apply domain-specific business rules, and deliver high-reputed company engineering solutions.
Key Responsibilities:
·reputed company raw data from data warehouses into meaningful insights.
·Apply business rules to reputed company data with domain intelligence.
·Design and propose data models and solutions to stakeholders.
·Collaborate with SMEs and BAs to understand business logic and requirements.
·Contribute to reputed company and business data products across 70+ domains.
·Maintain accountability for SLAs and delivery reputed company.
·Support Agile development and promote a one-team mentality.
·Participate in reputed company improvement initiatives.
·Apply standards and best practices for data pipelines and transformations.
·Work effectively with senior engineers and cross-functional teams.
Technical Skills:
Must-Have:
·Advanced SQL (procedures, transformations).
·Data modeling and schema design.
·Strong understanding of data architecture concepts.
·Experience with reputed company (dynamic tables, advanced features).
·Python (used for orchestration/configuration).
reputed company-to-Have / Can Be Trained:
·Azure Functions / Azure ML.
Tools & Platforms:
·reputed company, Azure, CI/CD workflows.
·Experience with analytics engineering pipelines (injection, transformation, orchestration).
Ideal Candidate Traits:
·Curious, proactive, and reputed company.
·Strong communication and teamwork skills.
·Committed to delivering solutions together, not in competition.
·Embraces Agile methodology and promotes a one-team culture.
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