SDE-Python/Pyspark

Experience: 4 - 7 YearsLocation: Whitefield - BangaloreWork Mode: HybridMandatory Skills: Python, PySpark, AWS, SQL, DSA, Databricks,Hadoop,spark,mapreduce,HBase.

Responsibilities:

Good development practices

• Hands on coder with good experience in programming languages like
  

Python or Pyspark .

• 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.

• Hands on coder with good understanding on enterprise level code
• Design and implement APIs, abstractions and integration patterns to
  

solve challenging distributed computing problems

• Experience in defining technical requirements, data extraction, data
  

transformation, automating jobs, productionizing jobs, and exploringnew big data technologies within a Parallel Processing environment

 Culture

• Must be a strategic thinker with the ability to think unconventional
  

out:of:box.

• Analytical and data driven orientation.
• Raw intellect, talent and energy are critical.
• Entrepreneurial and Agile understands the demands of a private, high
  

growth company.

• Ability to be both a leader and hands on "doer".
  

Qualifications

 Years of track record of relevant work experience and a computer Science orrelated technical discipline is required Experience with functional and object-oriented programming Python orPyspark 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 withAPI’s, microservices. Effective communication skills (both written and verbal Ability to collaborate with a diverse set of engineers, data scientists andproduct managers Comfort in a fast-paced start-up environment

Preferred Qualification

 Experience in agile methodology Experience with database modeling and development, data mining andwarehousing. Experience in architecture and delivery of Enterprise scale applications andcapable in developing framework, design patterns etc. Should be able tounderstand and tackle technical challenges, propose comprehensive solutionsand guide junior staff Experience working with large, complex data sets from a variety of sourcesSkills: o,data,python,big data,hbase,hadoop,mapreduce,spark,aws,agile,pyspark,data structures,algorithms,data bricks,api