Chief Data Architect

2 days ago

Udaipur, Rajasthan, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Title: Data Engineer">

Are you a skilled data professional looking to take your career to the next level? Do you have experience with data engineering, data pipelines, and data analysis?

We are seeking an experienced Data Engineer to join our analytics division. As a key member of our team, you will play a critical role in designing, developing, and maintaining robust data pipelines and ETL processes using data platforms for our centralized data warehouse.

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:

  • 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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