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Data Engineer
2 weeks ago
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.
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