Data Engineer
2 weeks ago
What You'll Be Doing
Design, build, and maintain scalable, reliable data pipelines to support diverse business and AI applications
Take ownership of pipeline health. Proactively monitor performance, debug issues, and improve data quality
Collaborate with cross-functional teams to translate data needs into technical solutions
Implement data pipeline orchestration using tools such as Apache Airflow or AWS Step Functions
Optimise data storage and retrieval across RDBMS (Postgres, MSSQL), object stores (MinIO/S3), and graph databases (Neo4j)
Design data schemas (normalized, denormalized, star-schema) and enforce proper access and backup protocols
Support analytics, product development, and AI POCs with clean, well-managed data structures
Apply scripting (Python) and open-source tools to automate data workflows and ETL processes
What You Should Know or Be Eager to Learn
Preferred Technical Skills (not mandatory)
Python for scripting and data manipulation
Database technologies: PostgreSQL, MongoDB, Neo4j
Cloud and storage systems: MinIO, AWS S3, AWS tech stack (preferred)
Data orchestration tools: Apache Airflow, AWS Step Functions
Familiarity with BI tools like Tableau
Comfort working in both Windows and Linux environments
Basic understanding of networks, OS commands, and system-level data operations
Mindset We Look For
Strong problem-solving mindset with attention to detail
Customer-first attitude. Designing with real users and business needs in mind
Flexibility to adapt tools and approaches based on the use case
Eagerness to learn and grow in a high-performance tech environment
All selected candidates will undergo a 11-week, fully sponsored on-job-training with allowance, before being deployed full-time for 3 years.
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