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 – 9+ 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.