B.Tech Graduates Vacancy at Urban Company

B.Tech Graduates Vacancy at Urban Company

Kajal | Aug 3, 2022 |

B.Tech Graduates Vacancy at Urban Company

B.Tech Graduates Vacancy at Urban Company

Overview:

Urban Company is hiring an experienced Software Development Engineer II Data at their Gurgaon and Bangalore location. They are looking for extremely strong first-principles problem solvers, who have a maker / builder within them and want to bring to life consumer insights to revolutionize the service industry.

The complete details of this job are as follows:-

Roles and Responsibilities:

The Ideal Candidate should be Able to:

  • Platform first approach to engineering problems.
  • Design, build, maintain robust and automated pipelines to ingest and process structured and unstructured data from source systems
  • into big data platforms using batch and streaming mechanisms leveraging cloud native toolset
  • Design, build, and maintain scalable and platformized infrastructure for machine learning pipelines at scale. Making it seamless to
  • use Machine Learning Models for Data science and Engg team both.
  • Strong engineering mindset – build automated monitoring, alerting, self healing (restartability/graceful failures) features while
  • building the consumption pipelines.
  • Create self-serve tools to improve the analytics platform.
  • Build Data insights and alerts on top Business KPIs using dynamic thresholding.
  • Build a rich Aggregate / Feature store to power in-house Data science Platform
  • Tools / Technologies – Kafka, Kafka Connectors, Debezium, Node/Typescript, React, Scala, Airflow, Snowflake, Redash, Looker,

Kafka/Spark Streams, Spark, Sagemaker, EMR, Prometheus, Grafana.

Eligibility:

  • Bachelor’s/master’s in computer science frm top-tier Engineering School.
  • Experience with Data pipeline and workflow management tools like Luigi, Airflow etc.
  • Proven ability to work in a fast paced environment.
  • History and Familiarity of server-side development of APIs, databases, dev-ops and systems.
  • Fanatic about building scalable, reliable data products.
  • Experience with Big data tools: Hadoop, Kafka/Kinesis, Flume, etc. is an added advantage.
  • Experience with Relational SQL and NO SQL databases like HBase, Cassandra etc.
  • Experience with stream processing engines like Spark, Link, Storm, etc. is an added advantage.

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