Chief Data Engineer

7 days ago

Bellary, Karnataka, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 20,00,000

Job Overview

We are seeking an experienced data engineer to join our analytics division.

The ideal candidate will have a strong background in designing and developing robust data pipelines and ETL processes using data platforms for a centralized data warehouse.

Key Responsibilities

  • 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.

Requirements

Experience & Education

  • 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.

Preferred Qualifications:

  • Master's degree in Engineering, Computer Science, Business, or a related field.
  • Experience with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing.
  • Experience with experimentation infrastructure, and measurement approaches in a technology platform.
  • Experience with data processing software (e.g., Hadoop, Spark) and algorithms (e.g., MapReduce, Flume).

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