Senior Data Engineer

Overview

Cialfo is a leading platform connecting students, higher education institutions, and counselors through technology-driven solutions. Launched in 2017 with a mission to make education accessible to 100 million students, Cialfo provides a range of mobile and web solutions to students, K-12 institutions, and higher education institutions. We’re one of the fastest-growing tech startups in the region, consistently charting new heights!

About This Role

We are looking for a Senior Data Engineer to build robust data platforms in Cialfo to help us gain useful insights out of our data gold mines. Data is the way forward and this role will give you the opportunity to develop and enhance our data strategy. This position will be part of our Data engineering team and your job is planning, design, development and implementation using best practices for data integration, which includes cloud and/or traditional infrastructure technologies.

Your role will be to deliver data centric data solutions, business metadata, data lineage mappings, and data transformation logic for use by our internal and external customers. You will be responsible to work with the Data Leads, Business Analysts, Data Modelers, Principal Engineers, Product and Business Stake holders when integrating data with specific development activities.

What You Will Be Doing

• Design, build and maintain the data warehouse. (Snowflake, DBT)
• Knowledge of Data Warehousing methodologies and concepts.
• Design, build and maintain the ETL pipelines. (Hevo, Python)
• Maintain and enhance our existing BI platform. (Sisense, Metabase) while building reporting interfaces.
• Define and manage data quality for data sets.
• Investigate support incidents, identify the root cause of the problem and fix bugs.
• Identify and implement internal process improvements, including re-designing the applications for greater scalability, optimising data delivery, and automating manual processes.
• Communicate effectively across multiple departments and with stakeholders to review business requirements, propose solutions and implement them.
  
  
  

• Qualifications
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Experience
• Strong knowledge of architecting and implementing very large-scale business intelligence solutions
• Strong experience in data warehouse designing and SQL
• Strong experience in building ETL pipelines
• Experience working with user-facing BI tools like SiSense, Metabase, Looker etc.,
• Skills & Qualities
• • Able to communicate to non-technical business stakeholders, technical topics.
  • Able to work in a dynamic, research-oriented team with parallel products.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and teamwork abilities.
  • Ability to thrive in a fast-paced, agile development environment.