Job Overview

We are looking for a highly skilled Senior Data Engineer to design, build, and maintain scalable data pipelines and architectures. You will play a key role in transforming raw data into actionable insights, supporting data-driven decision-making across the organization.

Key Responsibilities

• Design, develop, and maintain data pipelines and ETL processes
• Build and optimize data architectures and data warehouses
• Ensure data quality, integrity, and security
• Work closely with cross-functional teams (analysts, developers, stakeholders)
• Optimize data workflows for performance and scalability
• Monitor and troubleshoot data systems and pipelines
• Mentor junior data engineers (if applicable)

Qualifications

• At least 4–5 years of experience in Data Engineering or related field
• Strong knowledge of Python and SQL
• Experience with cloud platforms (AWS, Azure, or GCP)
• Hands-on experience in ETL/ELT processes and data pipelines
• Familiarity with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery)
• Experience with Linux/Unix environments
• Knowledge of version control (Git) and CI/CD is a plus
• Strong analytical and problem-solving skills