25 Aug
|
UP Data Science Society
|
Australia
25 Aug
UP Data Science Society
Australia
?️ We’re Hiring: Data Engineer
? Position: Data Engineer
⏱️ Employment Type: Full-Time
? Level: Entry-Level / Junior
We’re looking for a curious, detail-oriented, and technically minded Data Engineer to help build reliable data pipelines and transform raw information into high-quality datasets. This role is ideal for someone who enjoys programming, working with data, solving technical problems, and learning modern data technologies.
? Key Responsibilities
- Assist in building, maintaining, and monitoring data pipelines and ETL workflows.
- Collect and integrate data from databases, APIs, files, and other sources.
- Clean, transform, and validate data to ensure accuracy and consistency.
- Support data warehouse and data lake environments.
- Write SQL queries and scripts to process and analyze data.
- Monitor pipeline performance and troubleshoot data-related issues.
- Collaborate with analysts, data scientists, and software engineers on data requirements.
- Maintain documentation for pipelines, datasets, processes, and technical workflows.
- Assist with improving data quality, reliability, and processing efficiency.
? What We’re Looking For
- Basic proficiency in SQL and at least one programming language, such as Python, Java, or Scala.
- Understanding of databases, data structures, and basic ETL concepts.
- Familiarity with relational databases and data modeling principles.
- Exposure to cloud platforms such as AWS, Azure, or Google Cloud is a plus.
- Familiarity with tools such as Git, Docker, Airflow, Spark, or similar technologies is beneficial.
- Strong analytical and problem-solving abilities.
- Excellent attention to detail when working with data.
- Curious mindset with enthusiasm for learning up-to-date data engineering technologies.
? What We Offer
- Hands-on experience building and maintaining real-world data pipelines.
- Exposure to cloud platforms, data warehouses, ETL tools, and modern data technologies.
- Mentorship and guidance from experienced data engineers.
- Opportunities to strengthen SQL, Python, data modeling, and pipeline development skills.
- Collaborative environment with analysts, engineers, and data professionals.
- Career development opportunities across data engineering, analytics, and cloud technologies.
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📌 Data Enginee (Entry / Junior Level) (Australia)
🏢 UP Data Science Society
📍 Australia