Data Engineer

2 weeks ago


Hyderabad, Telangana, India Promaynaov Advisory Services Pvt Ltd Full time

Role :
Data Engineer

Location :
Pune/Hyderabad

In this role, you will :

Principal Responsibilities :
As a key member of the technical team alongside Engineers, Data Scientists and Data Users, you will be expected to define and contribute at a high-level to many aspects of our collaborative Agile development process

  • Software design, Scala & Spark development, automated testing of new and existing components in an Agile, DevOps and dynamic environment
  • Promoting development standards, code reviews, mentoring, knowledge sharing
  • Production support & troubleshooting.
  • Implement the tools and processes, handling performance, scale, availability, accuracy and monitoring
  • Liaison with BAs to ensure that requirements are correctly interpreted and implemented.
  • Participation in regular planning and status meetings. Input to the development process through the involvement in Sprint reviews and retrospectives. Input into system architecture and design.
  • Peer code reviews.
  • To be successful in this role, you should meet the following requirements: (Must have Requirements)
  • Scala development and design using Scala 2.10+ or Java development and design using Java 1.8+.
  • Experience with most of the following technologies (Apache Hadoop, Scala, Apache Spark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTful services).
  • Sound knowledge on working Unix/Linux Platform
  • Handson experience building data pipelines using Hadoop components
  • Hive, Spark, Spark SQL.
  • Experience with industry standard version control tools (Git, GitHub), automated deployment tools (Ansible & Jenkins) and requirement management in JIRA.
  • Understanding of big data modelling techniques using relational and nonrelational techniques
  • Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects;
  • The successful candidate will also meet the following requirements

Good to have Requirements :

  • Experience with timeseries/analytics dB's such as Elastic search.
  • Experience with scheduling tools such as Airflow, Control-M.
  • Understanding or experience of Cloud design patterns
  • Exposure to DevOps & Agile Project methodology such as Scrum and Kanban.
  • Experience with developing Hive QL, UDF's for analysing semi structured/structured datasets.
Immediate joiners preferred, max 45 days (must be serving notice)
)

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