Job Description

Design, build, and maintain scalable big data pipelines for processing and analyzing large datasets using Spark, Airflow, Bodo, Flume, Flink, etc. Utilize technologies like Hadoop, Spark, Kafka, and NoSQL databases. Develop data ingestion, transformation, and aggregation strategies. Design and implement data warehouses and data marts using Presto, Snowflake, or similar technologies. Create efficient data models and schemas for optimal query performance. Great to have an understanding of graph query (GQL), Gremlin, Cypher, etc. Know to build business system-engineering architectures using graphs, how to scale the workload on distributed systems. Hands on experience applying graphs for business impact, including experience on data management, infrastructure, budgeting, trade-offs, project workflow management, and business processes engineering. Strong programming skills: Python/Scala/Rust for Supercomputing on TB+ data. Experience with creating quantitative analytics and business operation dashboards using Tableau, SuperSet or other visualisation tools. Experience with data mining, relational and noSQL databases, and data warehouse for data automation. Experience working with large language model and natural language processing is a plus. Excellent problem solving, critical thinking backed by expert understanding of probability, statistics, algorithms and mathematics. Be able to strategize and innovate business solutions for high impact projects. Be able to evaluate and transform latest, untested academic methods into production workflows. Self-driven, highly motivated and ability to work both independently and within a team. Operate optimally in fast pace development environment with dynamic changes, tight deadlines and limited resources. Show more Show less