Big Data Engineer/Knowledge Graph Specialist

2 weeks ago


Delhi, Delhi, India Thoucentric Full time

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.

Requirements 4-8 years of ExperienceBenefits

  • Opportunity to define your career path and not as enforced by a manager
  • A great consulting environment with a chance to work with Fortune 500 companies and startups alike.
  • A dynamic but relaxed and supportive working environment that encourages personal development.
  • Be part of One Extended Family. We bond beyond work - sports, get-togethers, common interests etc. Work in a very enriching environment with Open Culture, Flat Organization and Excellent Peer Group.
  • Be part of the exciting Growth Story of Thoucentric
RequirementsHive, Hadoop, Pyspark
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