🔑 Free Exclusive Career Guide: Data Engineer Job Description and RoadMap
A Data Engineer designs, builds, and maintains the infrastructure that allows large volumes of data to be collected, stored, and analyzed efficiently.
Core Responsibilities
- Develop and maintain data pipelines for ETL/ELT processes.
- Ensure data quality, reliability, and accessibility across systems.
- Design database architecture and optimize queries.
- Collaborate with data scientists and analysts to support analytics workflows.
- Implement data security and compliance measures.
Skills & Tools
- SQL, Python, Java, Scala
- Data Warehousing: Redshift, BigQuery, Snowflake
- ETL/ELT tools: Apache Airflow, Talend, Informatica
- Cloud platforms: AWS, Azure, GCP
- Data pipeline monitoring and optimization
Affiliate Digital Software Tools
- MindManager
- EndNote Reference
- WinZip & ReviverSoft
- Advance Systems Repair
- Corel, Roxio & Pinnacle MultiMedia
- CookieYes
- Malwarebytes Cybersecurity
Education & Certifications
- Bachelor’s degree in Computer Science, Information Systems, or Engineering
- Certifications: AWS Certified Data Analytics, Google Cloud Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate
Career Roadmap
- Entry Level: Junior Data Engineer / ETL Developer
- Mid Level: Data Engineer / Pipeline Developer
- Senior Level: Senior Data Engineer / Lead Data Engineer
- Leadership: Data Engineering Manager / Director of Data Engineering
Salary Range (USD)
$70,000 – $130,000 annually.
References
Data Career Path Series DataViz Explorer Page 1 of 1