What you will do:

• Curate, build and transform raw data in scalable information
• Plan long-term strategies and projects for junior engineers
• Keep a closer look on various projects and monitor the progress
• Carry on smooth collaborations with the sales and engineering teams
• Provide management mentorship for junior team members and set the tone for holistic growth
• Ensure everyone is on the same page and taking ownership of their respective projects
• Make extracted data accessible so that organisations can use it to optimise performance

What makes you a great fit:

• At least 1 to 5 years of professional experience
• 1+ years of experience working with Big Data systems involving Kafka, Apache Spark/EMR, Hive/Impala, Delta lake, Presto and Airflow
• 1+ years of hands-on experience in implementation and performance tuning Spark/Deltalake/Presto implementations for terabytes scale
• Experience developing software code in one or more programming languages (Java, Scala, Python)
• 1+ years of experience in building streaming solutions using Apache Flink/Spark Streaming/Samza
• Good understanding of AWS BigData stack
• Having been a contributor/commitor to the big data stack
  
• Data modeling experience and end-to-end data pipelining experience
• Knowledge of OLAP data cubes and BI tools
• Working knowledge of ELK, Redis and MYSQL
• Knowledge of RxJava, Java Springboot and Microservices architecture