Data Engineer

Responsibilities

• Design and implement complex data warehouse solutions, including data modeling (star schema, snowflake schema), data processing, and data integration.
• Develop and optimize high-performance data pipelines for large-scale data ingestion, transformation, and loading.
• Write efficient SQL queries and stored procedures for data extraction, transformation, and loading (ETL).
• Utilize Python for advanced data processing, automation, and custom data analysis tasks.
• Collaborate with data architects, data analysts, and business users to define data requirements and strategies.
• Provide technical guidance and expertise for data warehouse projects.
• Help maintain and improve existing data warehouse solutions.
• Participate in data governance activities and ensure data quality, security, and compliance.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or a related field.
• 10+ years of experience as a Data Engineer or a similar role.
• Strong proficiency in SQL Server Data Warehousing and data modeling techniques.
• Experience with data pipeline development and ETL processes for large-scale data sets.
• Proficiency in Python for advanced data processing and automation.
• Understanding of data warehousing concepts, best practices, and emerging technologies.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team