Data Engineer

Key Responsibilities Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL
• Build and optimize data architecture to ensure data quality and
• Integrate data from diverse internal and external
• Collaborate with cross-functional teams to define data requirements and deliver
• Implement best practices for data governance, security, and
• Monitor pipeline performance and perform real-time troubleshooting of data
• Participate in code reviews and contribute to documentation and

Required Qualifications & Skills:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
• Minimum of 2 years of professional experience in data engineering or software
• Solid understanding of SQL and proficiency in at least one programming language, such as Python, Java, or Scala.

• Practical experience building and maintaining data pipelines using tools like Apache Airflow or
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and data warehousing solutions (Redshift, BigQuery, Snowflake).
• Familiarity with big data technologies and frameworks, including Spark, Kafka, and
• Demonstrated ability to solve complex problems with a strong focus on
• Experience implementing CI/CD practices for data
• Working knowledge of data modeling principles and schema
• Exposure to machine learning pipelines or real-time analytics systems is a plus.