🔍 Overview

A Data Engineer designs, builds, and maintains scalable data pipelines to collect, process, and store large volumes of data for use by analytics and data science teams.

🎯 Key Responsibilities

• Develop and maintain efficient and scalable ETL/ELT pipelines.
• Integrate various data sources (relational databases, NoSQL, APIs) into data warehouses or data lakes.
• Ensure reliability, security, and performance of data flows.
• Collaborate with data analysts and data scientists to understand business and technical requirements.

✅ Skills & Qualifications

• Strong understanding of SQL and programming languages such as Python, Java, or Scala.
• Experience with distributed systems (Hadoop, Spark, Kafka).
• Hands-on experience with cloud data platforms (AWS, Azure, GCP).
• Solid debugging and performance tuning skills, with good documentation practices.