Data Engineer

Dream. Dare. Do – that is Suyati’s work principle in a nutshell.


Data Engineer







Minimal qualifications include:

  • A bachelor’s degree in Computer Science or equivalent.
  • 5+ Years with at least 3+ years as Data Engineer.

Technical Skills:

  • Experience in building large-scale data pipelines which process millions of events per day.
  • Experience writing and maintaining ETLs, which operate on a variety of large structured and unstructured sources.
  • Proficient understanding of distributed computing principles
  • Experience with Hadoop and Spark
  • Experience with various messaging systems, such as Kafka or RabbitMQ
  • Experience with NoSQL databases, such as HBase, Cassandra, MongoDB, Elasticsearch etc…
  • Experience in implementing  Data warehouse and Data lake
  • Good understanding of Lambda Architecture would be an added advantage
  • Experience in implementing ELT models would be an added advantage
  • Experience in AWS and Azure cloud services would be an added advantage
  • Good Knowledge with one of the Reporting solutions like Pentaho BI or Tableau would be an added advantage.

Soft Skills:

  • Strong verbal, written, and interpersonal communication skills with both technical and non-technical audiences. 
  • Strong presentation and demonstration skills
  • Excellent learning skills and willingness to experiment with new technologies

Job Description

  • Create and maintain the optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal ELT or ELT from a wide variety of data sources.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

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