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2 weeks ago
Job Title: Data Engineer
Company: Enablemining
Location: Remote
Employment Type: Full-time
Seniority Level: Mid-Level
Experience: Minimum 2 years
Education: BE/BTech or MCA
About UsEnablemining is a global mining consultancy headquartered in Australia. We specialize in strategy, mine planning, and technical evaluations for coal and metalliferous mines. Our work is grounded in structured problem-solving and innovation — helping clients maximize the value of their mining assets.
About the RoleWe are looking for a skilled Data Engineer to join our data and analytics team. You'll be responsible for building and optimizing data pipelines, transforming raw datasets into usable formats, and enabling insight through interactive reporting solutions.
You will work across modern tools such as PySpark, Python, SQL, Power BI, and DAX , and collaborate closely with business teams to create scalable, impactful data systems.
Key Responsibilities- Design and maintain data pipelines using PySpark and SQL
- Develop efficient ETL workflows and automate data ingestion
- Support data transformation and analytics with Python
- Create and manage interactive dashboards using Power BI and DAX
- Integrate and manage data from Databricks and other platforms
- Ensure accuracy, performance, and scalability of data solutions
- Work with stakeholders to understand and deliver on reporting needs
- Minimum 2 years of experience as a Data Engineer or in a related role
- Proficiency in PySpark, SQL, and Python
- Experience in Power BI , with strong skills in DAX
- Familiarity with Databricks or other data lakehouse platforms
- Strong analytical, problem-solving, and communication skills
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