Data Engineer
- Responsible to support digital business to not only build data platform architecture but also to make fact-based decisions using advanced analytics, and develop predictive analytics at scale
- Develop data science competencies and resources within the business for the digital business exploration of big data sets and source data as well as opening access to hidden/ unexplored data for data analytics, machine learning, and predictive analysis.
- Lead in developing and implement data infrastructure improvement to a scalable architecture for big data analysis.
- Collaborate with product owners and engineers to address priority business metrics, provide insights, drive report enhancements and utilization, and conduct ad-hoc analyses to support decision-making.
Minimum Qualifications
- Bachelors in Computer Science and related fields
- Has Experience 3-5 years in Senior Data Engineering field
- Experience in leading a team of engineers; you have the ability and interest to teach other best practices and mentor less experienced engineers
- Strong sense of ownership and self-starter who is
- Target-driven and self-motivated
- Expert in SQL and high-level languages such as Python or Java
- Built and maintained data warehouses and ETL pipelines
- Advance using real-time data streaming infrastructures like Kafka, Dataflow, Spark, Hadoop, Hive, etc.
- Proficient in understanding Database (Relational & NoSQL): PostgreSQL, MySQL, Cassandra, etc.
- Understand about data warehousing and data mining concepts and Experience in using Cloud Product solutions