SDE-Python/Pyspark

Experience: 4 - 7 Years

Location: Whitefield - Bangalore

Work Mode: Hybrid

Mandatory 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 exploring

new 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 or

related technical discipline is required

Experience with functional and object-oriented programming Python or

Pyspark 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

Skills: o,data,python,big data,hbase,hadoop,mapreduce,spark,aws,agile,pyspark,data structures,algorithms,data bricks,api