Responsibilities:

· Design and develop data pipelines, data storage systems, and data processing infrastructure.
· Implement data modeling best practices to ensure data integrity, reliability, and efficiency.
· Develop and maintain ETL processes and workflows to transform data into usable formats.
· Collaborate with cross-functional teams to ensure data is accurate and accessible across the organization.



Qualifications:

· Bachelor's degree in Computer Science, Software Engineering, or a related field.
· 3 years of experience in data engineering or a related field.
· Experience with big data technologies such as Hadoop, Hive, Spark, and Kafka.
· Proficient in programming language such as Python, Java or Scala.
· Highly proficient in SQL and relational databases such as PostgreSQL, MySQL, or Oracle
· Any ETL tools like Talend, Informatica, SSIS, etc
· Deep understanding and knowledge in database management system and data warehousing concept is a must
· Knowledge of data modeling best practices and data warehousing business intelligence concepts and methodologies
· Experience with cloud-based platforms such as AWS, Azure, or Google Cloud.
· Strong problem-solving skills and attention to detail.
· Excellent communication and collaboration skills.