Sigma Engineer

1 - 7 years

6 - 10 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are looking for a technical Sigma Engineer to lead the architecture and development of our modern BI stack. You will be responsible for the end-to-end data journey from optimizing backend data structures in Databricks to crafting high-performance, interactive workbooks in Sigma Computing.
The successful candidate will have a "backend-first" mindset, ensuring that SQL queries are highly performant and that Databricks Unity Catalog is leveraged for governed, scalable self-service analytics.
Key Responsibilities
Databricks Integration & Backend Optimization
  • Connection Management: Configure and maintain native connections between Sigma and Databricks (SQL Warehouses), utilizing OAuth and Service Principals for secure access.
  • Query Engineering: Write and optimize complex SQL queries directly against the Databricks Lakehouse, ensuring low-latency performance for end-users.
  • Data Modeling: Design and build "Golden Datasets" and Sigma Data Models that mirror backend Delta Lake structures (Medallion Architecture: Bronze, Silver, Gold).
  • Writeback Implementation: Implement Sigma s Input Tables and Writeback features to allow business users to augment Databricks data within governed guardrails.
Visualization & Analytics Design
  • Interactive Dashboards: Build sophisticated Sigma Workbooks that utilize parameters, complex calculations, and dynamic filtering.
  • Visual Storytelling: Translate complex datasets into intuitive visualizations (using Sigma s spreadsheet-like UI) that allow users to drill down into billion-row datasets.
  • User Empowerment: Enable self-service by building reusable elements and templates that business stakeholders can use to explore data without writing code.
Performance & Governance
  • Optimization: Monitor query performance in Databricks and optimize Sigmas SQL generation to reduce compute costs and improve speed.
  • Data Governance: Ensure data security and access controls are consistent between Databricks Unity Catalog and Sigma s workspace permissions.
Ideal Candidate Profile
  • Sigma Expertise: Advanced proficiency in Sigma Computing (Workbooks, Datasets, Actions, and Writeback).
  • Databricks Mastery: Hands-on experience with Databricks SQL, Spark SQL, and Delta Lake. Understanding of Unity Catalog is a major plus.
  • Backend Foundations: Strong grasp of data structures, indexing, and partitioning strategies in a cloud data warehouse environment.
  • SQL Ninja: Expert-level SQL skills, including the ability to debug and optimize complex joins and window functions.
  • BI Design: A portfolio or proven experience in UI/UX for data visualization, focusing on clarity, speed, and usability.
  • Bonus Skills: Experience with dbt (Data Build Tool) for modular data modeling and Python/PySpark for advanced data engineering.

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