Data Engineer

We are hiring a Data Engineer to design data pipelines, ETL processes, and data architecture.

Responsibilities:

• Build and maintain scalable data pipelines and ETL workflows.
• Design and develop data models, warehousing structures, and architecture.
• Integrate data from multiple sources ensuring accuracy and consistency.
• Optimize data processing for performance and reliability.
• Collaborate with analytics and engineering teams for data needs.
• Manage cloud data platforms (Snowflake, Redshift, BigQuery).
• Implement data quality processes and governance practices.

Skills:

• Strong SQL, Python, and ETL expertise.
• Experience with cloud platforms like AWS/Azure/GCP.
• Knowledge of data lakes, warehouses, and pipelines.
• Proficiency in tools like Airflow, DBT, Kafka.
• Problem-solving and system architecture understanding.

Educational Qualification:

• Bachelor’s in Computer Science, Data Engineering, Information Systems or related field.
• Master’s degree in Data Science/Engineering is a strong advantage.
• Certifications preferred: AWS Data Engineer, Google Professional Data Engineer, Snowflake, DBT.