Description :

As a BI Engineer, you are a detail-oriented problem solver with a passion for turning complex data into actionable insights. You have a deep understanding of data structures, business requirements, and reporting needs, enabling you to design and implement scalable data solutions.

Your technical expertise spans data warehousing, pipeline development, and visualization tools, allowing you to empower stakeholders with reliable and efficient data-driven decisions.

You thrive in a collaborative environment, take ownership of data governance, and are proactive in identifying opportunities for process automation and optimization.

The core responsibilities for the job include the following :

Data Mastery and Preparation :

- Design and manage scalable, high-performance data pipelines and data warehouse tables.

- Develop and optimize moderately to highly complex data processing jobs using SQL, Mozart, Snowflake, and Python.

- Lead data cleansing efforts to ensure reporting readiness and data integrity.

Data Modeling and Governance :

- Define and implement efficient data models to support regular and ad-hoc reporting needs.

- Test and validate data rigorously to ensure accuracy and reliability.

- Own and promote data cataloging and governance initiatives for secure, democratized data access.

Actionable Insights and Stakeholder Empowerment :

- Analyze and visualize data to deliver actionable recommendations tailored to stakeholder requirements.

- Create and distribute reports and dashboards on a scheduled and ad-hoc basis.

- Provide training to end users, enabling self-serve analytics and empowering them to make data-driven decisions.

- Utilize your strong command of SQL to think through how to : (a) translate business requirements into informed design decisions, and (b) build your own Tableau dashboards, when needed.

Continuous Improvement :

- Collaborate with various pods to interpret business requirements and adapt data solutions accordingly.

- Identify opportunities to streamline and automate reporting processes for efficiency and scalability.

- By joining our team, you will play a pivotal role in transforming raw data into meaningful insights, driving business success across the organization.

Requirements :

- Proficient in tools like Redshift, Snowflake, and SQL, with experience in Python and data pipeline development.

- Analytical mindset with a knack for data modeling and reporting automation, especially for analytics platforms like Tableau, Superset, PBI, etc.

- Experience is a sprint methodology, including sprint planning, execution, tracking, etc.

- Strong communicator who bridges the gap between technical data structures and business needs.

- Committed to ensuring data accuracy, sanctity, and usability across the organization.