Data Insights Engineer Leader

7 days ago


Bengaluru, Karnataka, India Mouri Tech (P) Ltd Full time

Mouri Tech (P) Ltd seeks an experienced Data Insights Engineer Leader to join our team.

About Us:

We are a cutting-edge tech firm that specializes in providing innovative solutions to complex business problems. Our goal is to harness the power of data to drive informed decision-making and drive growth.

Role Description:

The ideal candidate will have 5+ years of experience in analyzing and interpreting large datasets with Redshift, Oracle, NoSQL databases. Proficiency in Spark and PySpark querying language for big data technology is a must.

Responsibilities:

  1. Develop and maintain data pipelines, metrics, reports, visualizations, analyses, dashboards, etc. to drive business decisions.
  2. Owning data integration, including connecting to multiple data sources and developing efficient ETL processes.
  3. Implement best practices of data warehousing to ensure data is stored securely and easily accessible.
  4. Monitor data pipelines to ensure data integrity & availability and be adept at troubleshooting as and when needed.

Deliverables/Outcomes:

  1. Seamless integration of data from multiple sources into a unified system.
  2. Create and streamline AWS Redshift cluster & S3 to ensure easy data access and flows.
  3. Efficient and reliable data storage & access.
  4. Building AWS data catalog available to AWS SageMaker and other data tools.
  5. Clear documentation of the code and artifacts.
  6. Comprehensive dashboards and reports providing stakeholders with valuable insights.
  7. Own Variance diagnostic tool to proactively identify pockets of high forecasting variance.

Requirements:

  • 5+ years of experience in analyzing and interpreting large datasets with Redshift, Oracle, NoSQL databases.
  • Proficiency in Spark and PySpark querying language for big data technology.
  • Experience with AWS data catalogue and AWS Glue is an asset.
  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience with building and maintaining basic data artifacts (e.g., ETL, data models, queries).
  • Scripting language skills (e.g., Python, Java, or R).
  • Knowledge of how to improve code quality and optimizes BI processes (e.g., speed, cost, reliability).
  • Experience with statistical analysis, co-relation analysis.

Salary: The estimated salary for this role is $150,000 - $200,000 per annum based on industry standards and location.



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