Position Details
About this role
This role involves developing and maintaining automated data pipelines, enhancing data architecture, and collaborating with teams to deliver actionable insights through data engineering solutions.
Key Responsibilities
- Develop ETL pipelines
- Maintain data architecture
- Collaborate with teams
- Ensure data security
- Optimize data storage
Technical Overview
The role covers data pipeline development using Python, Spark, SQL, and AWS services like S3, Glue, Lambda, with a focus on data modeling, security, and distributed systems.
Ideal Candidate
The ideal candidate is a mid-level data engineer with experience in building ETL pipelines, working with AWS services, and developing data models for large-scale data environments. Strong collaboration and problem-solving skills are essential.
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 data tools, No experience with ETL pipelines, Unfamiliarity with data modeling or data warehouse concepts
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