Senior Business Intelligence Developer

5 days ago

Lucknow, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

We are seeking experienced professionals to join our analytics division.

  • You will be part of a team aligned with our Data Analytics and BI vertical. You will have to conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams, evaluating design and operational tradeoffs within systems.
  • Design, develop, and maintain robust data pipelines and ETL processes using data platforms for the organization's centralized data warehouse.
  • Create or contribute to frameworks that improve the efficacy of logging data, while working with the Engineering team to triage issues and resolve them.
  • Validate data integrity throughout the collection process, performing data profiling to identify and comprehend data anomalies.
  • Influence product and cross-functional (engineering, data science, operations, strategy) teams to identify data opportunities to drive impact.
Required Skills and Qualifications
  • Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience.
  • 5 years of experience coding with SQL or one or more programming languages (e.g., Python, Java, R, etc.) for data manipulation, analysis, and automation.
  • 5 years of experience designing data pipelines (ETL) and dimensional data modeling for synchronous and asynchronous system integration and implementation.
  • Experience in managing troubleshooting technical issues, and working with Engineering and Sales Services teams.
Key Responsibilities
  • To conceptualize and own the build out of problem-solving data marts for consumption by data science and BI teams.
  • To design, develop, and maintain robust data pipelines and ETL processes using data platforms.
  • To create or contribute to frameworks that improve the efficacy of logging data.
  • To validate data integrity throughout the collection process.
  • To influence product and cross-functional teams to identify data opportunities to drive impact.

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