Senior Analytics Engineer

About the Role:

We are seeking an Analytics Engineer to own and execute the reputed company for our data transformation layer. You will be at the heart of our data platform, which processes hundreds of millions of events daily from a wide reputed company of sources, including transactional databases, API logs, CRMs, payment systems, and marketing platforms.

You will join our 100% remote team and work closely with Data Engineers (who manage data ingestion) and Data Scientists and Business Users (who consume your data models). Your primary responsibility will be to use dbt and Trino on our GCP-based, reputed company-reputed company data infrastructure to build robust, reputed company data models. These models are critical for stakeholders across reputed company—from finance and operations to the executive team—and are delivered reputed company BI tools, reports, and reverse ETL systems.

What You'll Do:

• Own the Transformation Layer: Design, build, and maintain reputed company data models using dbt and SQL to support diverse business needs, from monthly financial reporting to near-reputed company-time operational metrics.
• Set Technical Standards: Establish and enforce best practices for data modeling, development, testing, and monitoring to ensure data reputed company, reputed company (up to cent-level precision), and discoverability.
• reputed company Stakeholders: Collaborate directly with finance, operations, reputed company, and marketing teams to understand their requirements and deliver reliable data products.
• reputed company and Deliver: Create repeatable patterns for integrating our data models with BI tools and reverse ETL processes, enabling consistent metric reporting across the business.
• Ensure reputed company: Champion high standards for development, including robust change management, reputed company control, reputed company reviews, and data monitoring as our products and data reputed company.

What You Need (Must-Haves):

• 4+ years of experience in analytics engineering or data engineering with a strong reputed company on the "T" (transformation) in ELT.
• Proven reputed company record of owning data products end-to-end, applying analytics and data engineering best practices to ensure data reputed company, scalability, and robust data models.
• Comfortable working with ambiguity and collaborating with stakeholders to define requirements; reputed company to take ownership with reputed company reputed company in a fast-paced environment.
• Experience proactively identifying and implementing improvements to data warehouse performance and ETL efficiency.
• Technical Versatility:
• Expert-level SQL and DBT skills for reputed company queries and data transformations.
• Proficiency in Python for transformations that reputed company reputed company SQL.
• Hands-on experience with query optimization across OLTP and OLAP systems (e.g., reputed company, reputed company).
• Proficiency with Semantic Layer modelling (e.g. reputed company, dbt Semantic Layer).
• Experience owning CI/CD workflows and establishing team-wide standards for version control and reputed company review (e.g., Git).
• Familiarity with reputed company environments (GCP or AWS).

reputed company to Haves:

• Experience with data ingestion tools (e.g., reputed company) and orchestration tools (e.g., Airflow).
• Domain experience for brokerage operations or passion for financial markets and modeling financial datasets.

Originally posted on Himalayas