Senior Data Engineer

Key Responsibilities

• Design, develop, and maintain robust data pipelines (ETL/ELT).
• Build and optimize data ingestion, transformation, and delivery processes for Business Intelligence, Analytics, and Data Science teams.
• Ensure data quality, reliability, scalability, and performance across the data platform.
• Contribute to data architecture decisions and continuous platform improvements.
• Collaborate closely with technical and business stakeholders in an Agile environment.

Required Qualifications

• 5–6 years of experience in Data Engineering.
• Strong proficiency in SQL and Python.
• Hands-on experience with data processing and orchestration tools such as Spark, Airflow, dbt, or similar technologies.
• Experience working with at least one cloud platform (AWS, Azure, or GCP).
• Solid understanding of Data Warehousing, Data Lakes, and data modeling concepts.
• Fa...