Data Engineering
Integrating, consolidating, and cleansing data are part of data engineers’ responsibilities, they work usually in conjunction with data science teams. Preparing trusted and real-time data for enterprise business units, optimize organization’s big data ecosystem, managing big data using data warehousing and workflow management platforms, Building user interface to view and interact with large amounts of live streaming data, implements different data architects based on the business necessities, improving data transparency and facilitate, the business decision making are essential attributes of this important job. Ability to design and development of required data management’s software using C++, Python and Anaconda framework, R, SQL, Scala, Apache Kafka, Airflow, Hadoop, Spark, Data Brick, are part of required skills in the data engineering team. Maintaining active meta data and data catalog are other jobs to be assigned to this IT valuable team.