15 Fidius Advisory Jobs
Data Engineer - Python/Spark (2-10 yrs)
Fidius Advisory
posted 12hr ago
Key skills for the job
Job Description :
Our Client works with a variety of clients from start-ups to fortune 500 companies. We are looking for a detailed oriented self-starter to assist our engineering and analytics teams in various roles as a Software Development Engineer.
This position will be a part of a growing team working towards building world class large scale Big Data architectures. This individual should have a sound understanding of programming principles, experience in programming in Java, Python or similar languages and can expect to spend a majority of their time coding.
Responsibilities :
- Good development practices
- Hands on coder with good experience in programming languages like Java, Python or Scala.
- Hands-on experience on the Big Data stack like Hadoop, Mapreduce, Spark, Hbase, and ElasticSearch.
- Good understanding of programming principles and development practices like checkin policy, unit testing, code deployment
- Self starter to be able to grasp new concepts and technology and translate them into large scale engineering developments
- Excellent experience in Application development and support, integration development and data management.
Qualifications :
- BTech/Master a computer Science or related technical discipline is required
- 2-10+ Years of track record of relevant work experience
- Experience with functional and object-oriented programming, Java, Python or Scala is a must.
- Hands-on experience on the Big Data stack like Hadoop, Mapreduce, Spark, Hbase, and ElasticSearch.
- Good understanding on AWS services and experienced in working with API's, microservices.
- Effective communication skills (both written and verbal
- Ability to collaborate with a diverse set of engineers, data scientists and product managers
- Comfort in a fast-paced start-up environment
Preferred Qualification :
- Experience in agile methodology
- Experience with database modeling and development, data mining and warehousing.
- Experience in architecture and delivery of Enterprise scale applications and capable in developing framework, design patterns etc.
- Should be able to understand and tackle technical challenges, propose comprehensive solutions and guide junior staff
- Experience working with large, complex data sets from a variety of sources
Functional Areas: Software/Testing/Networking
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