Required Skills

Computer science

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 29th Jul 2022


Role Summary

We are looking for a Data Engineer to help us scale the existing data infrastructure and in parallel work on building the next generation data platform for analytics at scale, machine learning infrastructure and data validation systems. In this role, you will be responsible for communicating effectively with data consumers to fine-tune data platform systems (existing or new), taking ownership and delivering high performing systems and data pipelines, and helping the team scale them up, to endure ever growing traffic. This is a growing team, which makes for many opportunities to be involved directly with product management, development, sales, and support teams. Everybody on the team is passionate about their work and we re looking for similarly motivated get stuff done kind of people to join us!

Roles Responsibilities

  • Engineer data pipelines (batch and real-time ) that aids in creation of data-driven products for our platform
  • Design, develop and maintain a robust and scalable data-warehouse and data lake
  • Work closely alongside Product managers and data-scientists to bring the various datasets together and cater to our business intelligence and analytics use-cases
  • Design and develop solutions using data science techniques ranging from statistics, algorithms to machine learning
  • Perform hands-on devops work to keep the Data platform secure and reliable

Skills Required

  • Bachelor's degree in Computer Science, Information Systems, or related engineering discipline
  • 4 years experience with ETL, Data Mining, Data Modeling, and working with large-scale datasets
  • 3 years experience with an object-oriented programming language such as Python, Scala, Java, etc
  • Extremely proficient in writing performant SQL working with large data volumes
  • Experience with map-reduce, Spark, Kafka, Presto, and the ecosystem.
  • Experience in building automated analytical systems utilizing large data sets.
  • Experience with designing, scaling and optimizing cloud based data warehouses (like AWS, Redshift) and data lakes
  • Familiarity with AWS technologies preferred

Company Information