Big Data Engineer

Role & responsibilities

Knowledge Graph Specialist/Big DataEngineer- Design, build, and maintain scalable bigdata pipelines for processing and analyzing large datasets using Spark, Airflow, Bodo, Flume, Flink, etc.
- Utilize technologies like Hadoop, Spark, Kafka, and NoSQL databases.

- Strong in Spark Architecture
- Develop data ingestion, transformation, and aggregation strategies.
- Design and implement data warehouses and datamarts using Presto, Snowflake, or similar technologies.
- Create efficient datamodels 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 datamanagement, 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.

Interested candidates can share their resumes on Roshini.k@wipro.com

Exp-

CTC-

ECTC-

NP-

Current Location-

Preferred Location-

Availability on this week(Date and timing)-

Thanks

Roshini K