JD for Data Engineer
3 to 4 years of industry work experience
Strong proficiency in Python
Demonstrated working knowledge in data modelling, strength in ETL development and data warehousing experience using big data technologies (Sqoop, Impala, Hive, Kafka, Spark, Hadoop and other applicable technologies)
Experience working with Cloud computing platforms AWS, Azure
Creation and support of real-time data pipelines built on AWS technologies (such as EMR, Glue, Kinesis, Redshift/Postgres and Athena) and Azure technologies (such as data bricks, ADF…etc)
Hands-on experience with SQL
Technical expertise with data mining and segmentation techniques
Excellent problem-solving, communication, and organizational skills
Proven ability to work independently and with a team