Job Description

JD - 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.

Must have skillset 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, PySpark, Spark streaming, YARN, Kafka, Hive, Python, ETL frameworks, Map Reduce, SQL, RESTFUL API services).
• Sound knowledge on working Unix/Linux Platform
• Hands-on experience building data pipelines using Hadoop components - Hive, Spark, Spark SQL, PySpark.
• 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 non-relational techniques
• Experience on Debugging the Code issues and then publishing the highlighted differences to the development team/Architects

Good to have Requirements: -

• Experience with time-series/analytics dB\'s such as ElasticSearch.

• 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 analyzing semi structured/structured datasets.

Deloitte