Metropolis

Senior Analytics Engineer

Metropolis
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16 days ago
Bengaluru, IndiaSenior

Responsibilities

  • Lead the design, implementation, and monitoring of large-scale data warehouses and data marts.
  • Build data transformation pipelines and ELT processes that prepare and clean data for analysis.
  • Optimize SQL queries, tables, and database performance using window functions, STRUCT/ARRAY manipulation, partitions, sort keys, distribution keys, clustering, and incremental modeling.
  • Design data flows with testing, data-quality checks, and alerts to identify bad or anomalous data.
  • Own large-scale data projects that create significant impact across the company.
  • Partner with engineering, data analysts, data scientists, product managers, and other business stakeholders.
  • Mentor stakeholders on data best practices.
  • Use AI tools to transform static workflows into responsive, high-output processes.

Requirements

  • At least 5 years of experience in data or analytics engineering.
  • At least 5 years of experience with Python and SQL, preferably Snowflake.
  • At least 3 years of experience with dbt; dbt certification is a plus.
  • Demonstrated ownership of large-scale data projects and effective cross-functional partnership.
  • Expertise in SQL, window functions, STRUCT/ARRAY manipulation, and query optimization.
  • Experience designing data warehouses, data marts, transformation pipelines, and ELT processes.
  • Experience with data-quality testing, monitoring, and alerting.
  • Familiarity with database performance practices including partitions, sort keys, distribution keys, clustering, and incremental modeling.
  • Experience mentoring stakeholders in Data Science/Analytics, product management, and Engineering.

Benefits

  • Metropolis uses an office-first model; the posting references three days in office and states that corporate team members must be on-site at least four days per week.
  • The role offers collaboration with product leaders and engineers working at the intersection of parking, mobility, and real estate.
  • Metropolis states that it is an equal opportunity employer and provides reasonable accommodations during the hiring process.

Tech Stack

dbtPythonSnowflakeSQL

Categories

Data Engineering
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