About The Company
Armada is an edge computing startup that provides computing infrastructure to remote areas where connectivity and cloud infrastructure is limited, as well as areas where data needs to be processed locally for real-time analytics and AI at the edge. We’re looking to bring on the most brilliant minds to help further our mission of bridging the digital divide with advanced technology infrastructure that can be rapidly deployed
anywhere.
About The Role
We are looking for a detail-oriented and technically skilled BI Engineer to design, build, and maintain robust data pipelines and visualization tools that empower data-driven decision-making across the organization. The ideal candidate will work closely with stakeholders to translate business needs into actionable insights by developing and optimizing BI solutions.
Location.
This role is office-based at our Trivandrum, Kerala office.
What You'll Do (Key Responsibilities)
- Design, develop, and maintain scalable ETL (Extract, Transform, Load) pipelines to support data integration from multiple sources.
- Build and optimize data models and data warehouses for business reporting and analysis.
- Develop dashboards, reports, and data visualizations using BI tools (e.g., Power BI, Tableau, Looker, etc.).
- Collaborate with data analysts, data scientists, and business stakeholders to understand reporting needs and deliver effective solutions.
- Ensure data accuracy, consistency, and integrity across reporting systems.
- Perform data validation, cleansing, and transformation as necessary.
- Identify opportunities to automate processes and improve reporting efficiency.
- Monitor BI tools and infrastructure performance, and troubleshoot issues as needed.
- Stay up-to-date with emerging BI technologies and best practices.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
- 2–4 years of experience as a BI Engineer, Data Engineer, or similar role.
- Proficiency in SQL and experience with data modeling and data warehousing (e.g., Snowflake, Redshift, BigQuery).
- Experience with BI and data visualization tools (e.g., Power BI, Tableau, Qlik, Looker).
- Strong understanding of ETL processes and data pipeline design.
- Excellent problem-solving skills and attention to detail.
Preferred
- Experience with Python, R, or other scripting languages for data manipulation.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
- Knowledge of version control (e.g., Git) and CI/CD practices.
- Experience with APIs, data governance, and data cataloging tools.
Compensation
We offer a competitive base salary along with equity options, providing an opportunity to share in the success and growth of Armada.
You're a Great Fit if You're
- A go-getter with a growth mindset. You're intellectually curious, have strong business acumen, and actively seek opportunities to build relevant skills and knowledge
- A detail-oriented problem-solver. You can independently gather information, solve problems efficiently, and deliver results with a "get-it-done" attitude
- Thrive in a fast-paced environment. You're energized by an entrepreneurial spirit, capable of working quickly, and excited to contribute to a growing company
- A collaborative team player. You focus on business success and are motivated by team accomplishment vs personal agenda
- Highly organized and results-driven. Strong prioritization skills and a dedicated work ethic are essential for you
Equal Opportunity Statement
At Armada, we are committed to fostering a work environment where everyone is given equal opportunities to thrive. As an equal opportunity employer, we strictly prohibit discrimination or harassment based on race, color, gender, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other characteristic protected by law. This policy applies to all employment decisions, including hiring, promotions, and compensation. Our hiring is guided by qualifications, merit, and the business needs at the time.