Data Engineer

 Key Responsibilities

Technical Expertise

• • Strong proficiency in SQL and Python 1 2.
  • Experience with distributed data processing frameworks (e.g., Spark, Flink) 1.
  • Familiarity with cloud data ecosystems (AWS, Azure, GCP) 1.
  • Experience working with ETL/ELT orchestration tools.
  • Understanding of data modeling, metadata management, and governance.

Soft Skills

• • Strong problem-solving and analytical skills.
  • Ability to communicate complex data topics to non‑technical audiences 4.
  • Collaborative mindset and stakeholder engagement skills.

Education & Experience

• • Bachelor’s/Master’s degree in Computer Science, Information Systems, Data Engineering, or equivalent.
  • Typically 3–8+ years of hands-on data engineering experience (depending on level).

Preferred Certifications

• • Google Professional Data Engineer
  • Microsoft Certified: Azure Data Engineer Associate
    • AWS Certified Data Analytics – Specialty