Position Details
About this role
This role involves designing and maintaining scalable data pipelines and infrastructure to support data-driven initiatives within a consulting environment.
Key Responsibilities
- Design data pipelines
- Ensure data quality
- Collaborate with analytics teams
- Implement data governance
- Maintain data infrastructure
Technical Overview
The technical environment includes Databricks, SQL, Python, ETL tools, cloud platforms like Azure, and big data frameworks such as Hadoop, Spark, and Kafka.
Ideal Candidate
The ideal candidate is a mid-level data engineer with at least 2 years of experience in data pipeline development, strong skills in Databricks, SQL, and Python, and familiarity with cloud and big data technologies. They should be capable of designing scalable data solutions and ensuring data quality and governance.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with Databricks, No SQL or Python skills, No experience with cloud platforms, Less than 2 years of relevant experience
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