The company is looking for campus graduates to join their team as Data Engineers to build, optimize, and maintain data pipelines and infrastructure, ensuring data accessibility, reliability, and security for analytics and business use.
Requirements
- Strong knowledge of SQL and databases (relational and NoSQL).
- Familiarity with at least one programming language (Python, Java, or Scala preferred).
- Basic understanding of data engineering concepts (ETL, data pipelines, APIs, data warehousing).
- Exposure to cloud platforms (AWS, Azure, GCP) is a plus.
- Exposure to Big Data tools (Hadoop, Spark).
- Familiarity with data visualization tools (Power BI, Tableau).
- Understanding of DevOps, Git, or CI/CD pipelines.
Responsibilities
- Assist in the design, development, and maintenance of scalable data pipelines.
- Support data integration from multiple sources (structured and unstructured).
- Work with databases, data warehouses, and cloud platforms (AWS, Azure, or GCP).
- Ensure data quality, consistency, and reliability across systems.
- Collaborate with data scientists, analysts, and business stakeholders on data requirements.
- Support troubleshooting and performance tuning of data processes.
- Learn and implement best practices in data engineering and cloud technologies.
Other
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, or related field.
- Good problem-solving and analytical skills.
- Strong communication and willingness to learn.
