Data Engineer

Bengaluru, Karnataka, India | Engineering | Full-time

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About Us:

Whatfix is disrupting the way Application Support and Learning content is consumed by providing Contextual and Interactive WalkThroughs inside enterprise applications at the exact time a task is being performed. 

We provide enterprises with a Software Platform that allows them to create Interactive Guides or Flows that sit as an overlay inside any web application. Flows are Contextual - appear based on where you are in the application (location) and who you are (role). Optimal performance and adoption of any web application is attained when there is easy access to Contextual Information - inside the application at the time a task is being performed.

Your Opportunity:

As a part of the Whatfix Data Engineering team, you will be responsible for creating the Data Lake infrastructure from scratch and get your hands dirty by working on cutting edge tech stack.

 

Primary Requirement:

  • Strong experience in schema design and SQL
  • Knowledge of frameworks & distributed systems, good at algorithms, data structures, core java, design pattern.
  • Understanding & experience in technologies like Cassandra/Redshift/Hive
  • Must have built fault tolerant ETL pipelines
  • Worked with distributed data processing frameworks - Apache Spark, Apache Flink or Hadoop.
  • Knowledge of service oriented architecture
  • Deploying systems on the public cloud
  • Good analytical skills is a plus

 

Requirements

  • Bachelor’s/Master’s degree in Computer Science
  • Overall 3+ years of experience with at least minimum 1 year working experience on any data driven company/platform.
  • Strong understanding of different storage architectures and their appropriate application.
  • Exceptional problem solving, analytical and organisation skills with a detail-oriented attitude.
  • Passion for learning new technologies
  • A self-motivated learner and builder with strong customer focus and obsession with quality
  • Database performance concepts like indices, segmentation, projections, and partitions.

 

Good to have

  • Previously worked in a SaaS company

 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

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