Position Details
About this role
This role involves designing and implementing cloud-based data pipelines to support enterprise analytics, focusing on data ingestion, transformation, and governance within a hybrid cloud environment.
Key Responsibilities
- Build data pipelines
- Ensure data quality
- Collaborate with data teams
- Implement cloud solutions
- Document technical processes
Technical Overview
The technical environment includes AWS, Hadoop/EMR, Spark, Kafka, Snowflake, and Talend, with a focus on data engineering, cloud architecture, and big data methodologies.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in cloud-based data platforms, ETL processes, and big data technologies such as Hadoop, Spark, and Kafka. They should have strong Python and SQL skills and be familiar with data governance and cloud data solutions.
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 AWS or cloud platforms, No experience with data pipelines or ETL, No programming skills in Python or SQL, Lack of understanding of data governance
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