About Calfus
At Calfus, we are known for delivering cutting-edge AI agents and products that transform businesses in ways previously unimaginable. We empower companies to harness the full potential of AI, unlocking opportunities they never imagined possible before the AI era. Our software engineering teams are highly valued by customers, whether start-ups or established enterprises, because we consistently deliver solutions that drive revenue growth. Our ERP solution teams have successfully implemented cloud solutions and developed tools that seamlessly integrate with ERP systems, reducing manual work so teams can focus on high-impact tasks.
None of this would be possible without talent like you! Our global teams thrive on collaboration, and we're actively looking for skilled professionals to strengthen our in-house expertise and help us deliver exceptional AI, software engineering, and solutions using enterprise applications.
As one of the fastest-growing companies in our industry, we take pride in fostering a culture of innovation where new ideas are always welcomed—without hesitation. We are driven and expect the same dedication from our team members. Our speed, agility, and dedication set us apart, and we perform best when surrounded by high-energy, driven individuals.
To continue our rapid growth and deliver an even greater impact, we invite you to apply for our open positions and become part of our journey!
About the role:
As a Senior Data Engineer – BI Analytics & DWH , you will lead the design and implementation of enterprise-grade business intelligence and data warehousing solutions that empower our organization to make data-driven decisions at scale. You will leverage your deep expertise in Snowflake and/or Databricks , modern ETL/ELT frameworks, and cloud-native architectures to build scalable, high-performance data platforms. This role demands a strategic thinker with strong technical leadership, hands-on engineering skills, and the ability to mentor junior engineers while collaborating with stakeholders at all levels.
What You'll Do:
ETL/ELT Development:
- Architect, build, and maintain scalable ETL and ELT pipelines using Databricks, Snowflake, Azure Data Factory , or similar orchestration frameworks.
- Drive reliable, high-volume data ingestion from heterogeneous sources into centralized storage systems (DWH/data lakes).
- Define and enforce engineering best practices, code reviews, and pipeline standards across the team.
Data Modelling & Warehousing:
- Design and own relational and dimensional data schemas tailored to complex business use cases in data lakes and modern warehouses (e.g., Snowflake, Databricks Lakehouse , Redshift, Postgres).
- Develop and optimize data models for large-scale analytics, reporting, and self-service BI consumption.
Database Engineering:
- Write and optimize complex SQL queries, stored procedures, and transformations to clean, aggregate, and prepare data for analytics workloads.
- Lead performance tuning, query optimization, and cost optimization across Snowflake / Databricks environments.
BI & Visualization Support:
- Partner with BI teams to enable report and dashboard development in Tableau or Power BI .
- Collaborate with analysts and business users to translate reporting needs into robust data products and self-service BI enablement.
Performance & Data Quality:
- Monitor, troubleshoot, and continuously improve data pipelines and warehouse jobs to ensure timely, accurate, and reliable data availability.
- Implement and govern data quality frameworks, validations, and observability practices to ensure trustworthiness of data outputs.
Leadership & Collaboration:
- Mentor junior data engineers and contribute to technical roadmaps and architectural decisions.
- Partner cross-functionally with product, analytics, and engineering teams to deliver end-to-end data solutions.
On your first day, we'll expect you to have:
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 6–9 years of hands-on experience in data engineering with deep ETL/ELT development and data modeling expertise.
- Strong hands-on experience with Snowflake or Databricks — candidates with expertise in both will be strongly preferred.
- Advanced SQL skills with experience across database systems such as Snowflake, Databricks, SQL Server, Postgres, or Redshift.
- Solid experience with cloud-based services and data tools (e.g., AWS S3, Azure Data Factory, Databricks, Lambda functions).
- Strong understanding of data serialization formats like JSON, Parquet, and CSV.
- Proficiency in Python for scripting, automation, and data manipulation.
- Proven ability to design scalable data architectures and lead delivery of complex data initiatives.
- Bonus: Hands-on exposure to visualization tools such as Power BI or Tableau for dashboard/report development.
We'd be super excited if you have:
- Snowflake or Databricks certifications
- Azure SDK experience
- Experience interacting with REST APIs and performing web scraping
- Prior experience mentoring or leading small data engineering teams
Benefits:
At Calfus, we value our employees and offer a strong benefits package. This includes medical, group, and parental insurance, coupled with gratuity and provident fund options. Further, we support employee wellness and provide birthday leave as a valued benefit.
Calfus is an Equal Opportunity Employer.
We believe diversity drives innovation. We're committed to creating an inclusive workplace where everyone—regardless of background, identity, or experience—has the opportunity to thrive. We welcome all applicants!