Data Engineer

🔹 Job Responsibilities

• Design, build & maintain scalable data pipelines for ingestion, processing & storage.
• Collaborate 🤝 with data scientists, analysts, and product teams to deliver high-quality data solutions.
• Optimize data systems for performance, reliability, scalability, and cost-efficiency .
• Implement data quality checks ✅ ensuring accuracy, completeness, and consistency.
• Work with structured & unstructured data 📊 from diverse sources.
• Develop & maintain data models, metadata, and documentation .
• Automate & monitor workflows using tools like Apache Airflow (or similar).
• Ensure data governance & security best practices are followed.

🔹 Required Skills & Qualifications

• Bachelor’s/Master’s 🎓degree in Computer Science, Engineering, or related field .
• 3–5 years of experience in data engineering, ETL development, or backend data systems .
• Proficiency in 💻 SQL & Python/Scala .
• Experience with 🛠️ big data tools (Spark, Hadoop, Kafka, etc.).
• Hands-on with ☁️ cloud data platforms (AWS Redshift, GCP BigQuery, Azure Data Lake).
• Familiar with orchestration tools (Airflow, Luigi, etc.).
• Experience with data warehousing & data modeling .
• Strong analytical & problem-solving skills ; ability to work independently & in teams.

🔹 Preferred Qualifications

• 🐳 Experience with containerization (Docker, Kubernetes).
• 🔄 Knowledge of CI/CD processes & Git version control.
• 📜 Understanding of data privacy regulations (GDPR, CCPA, etc.).
• 🤖 Exposure to machine learning pipelines / MLOps is a plus.