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Big revolution in the e-gaming industry. (GK1) logo
Data Engineer
Big revolution in the e-gaming industry. (GK1)
Big revolution in the e-gaming industry. (GK1)'s logo

Data Engineer

at Big revolution in the e-gaming industry. (GK1)

Agency job
2 - 3 yrs
₹15L - ₹20L / yr
Bengaluru (Bangalore)
Skills
skill iconPython
skill iconScala
Hadoop
Spark
Data Engineer
Kafka
Luigi
Airflow
Nosql
  • We are looking for a Data Engineer to build the next-generation mobile applications for our world-class fintech product.
  • The candidate will be responsible for expanding and optimising our data and data pipeline architecture, as well as optimising data flow and collection for cross-functional teams.
  • The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimising data systems and building them from the ground up.
  • Looking for a person with a strong ability to analyse and provide valuable insights to the product and business team to solve daily business problems.
  • You should be able to work in a high-volume environment, have outstanding planning and organisational skills.

 

Qualifications for Data Engineer

 

  • Working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimising ‘big data’ data pipelines, architectures, and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Looking for a candidate with 2-3 years of experience in a Data Engineer role, who is a CS graduate or has an equivalent experience.

 

What we're looking for?

 

  • Experience with big data tools: Hadoop, Spark, Kafka and other alternate tools.
  • Experience with relational SQL and NoSQL databases, including MySql/Postgres and Mongodb.
  • Experience with data pipeline and workflow management tools: Luigi, Airflow.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
  • Experience with stream-processing systems: Storm, Spark-Streaming.
  • Experience with object-oriented/object function scripting languages: Python, Java, Scala.
Read more
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