Key skills
Data pipelinesPythonSQLETL / ELT processesData modellingCloud-based data platformsApache AirflowSpark (basics)Data quality practicesProblem-solving mindsetNoSQLETLELTData EngineeringAnalyticsSparkAirflow
About this role
Staffline Solutions believes strong data systems power strong decisions, and they are offering a Data Engineering opportunity for individuals looking to build or transition into data engineering skills. In this role, interns will gain hands-on exposure to data pipelines and infrastructure challenges, learning about the end-to-end data lifecycle and working with various data tools and processes.
Responsibilities:
- Understand the end-to-end data lifecycle, from ingestion to consumption
- Build and maintain data pipelines using Python and SQL
- Work with ETL / ELT processes to move and transform data efficiently
- Learn data modelling and database design (relational and basic NoSQL concepts)
- Gain exposure to cloud-based data platforms and storage solutions
- Work with tools such as Apache Airflow, Spark (basics), and data warehouses
- Implement data quality, validation, and monitoring practices
- Collaborate with mentors on real business use cases used by analytics and data science teams
Requirements:
- Build and maintain data pipelines using Python and SQL
- Work with ETL / ELT processes to move and transform data efficiently
- Learn data modelling and database design (relational and basic NoSQL concepts)
- Gain exposure to cloud-based data platforms and storage solutions
- Work with tools such as Apache Airflow, Spark (basics), and data warehouses
- Implement data quality, validation, and monitoring practices
- Collaborate with mentors on real business use cases used by analytics and data science teams
- Prior Data Engineering experience is not required; consistency and a problem-solving mindset are more important
- Curious about how data flows behind the scenes
- Interested in backend systems, databases, and large-scale data handling
- From backgrounds such as Computer Science / IT / Engineering
- Data Analytics or Data Science aspirants wanting stronger engineering skills
- Professionals aiming to transition into Data Engineering
- Familiar with basic programming or willing to learn quickly