Education

Bachelor Degree in Engineering, Master Degree in Engineering (CS) Preferred

Experience(years)

• Minimum of 2+ years of experience in J2EE and Hadoop development in Apache Hadoop or any of the major Hadoop distribution

• Must have at least 2 project experience working on a Big Data Project (not POC)

• Maximum of 10 years of total IT experience

Industry

Preferably from a Technology, ITES, Shared Services or Banking organization

Responsibilities

• Experience in Database technologies & sound experience in handling & working with data

• Should be conversant with OOPs concepts, Java technologies, Spring framework Struts, Spark, Python, Scala

• Should have good knowledge in HDFS, HIVE, MapReduce, and Spark

• Should have written customs UDFs

• Should have good knowledge about operating Systems, networking, filesystem, and database

• Familiarity on any data loading tool (ETL)

• Good knowledge of analytical and problem solving skills, applied to Big Data domain

• Ability to conduct analytics and modeling using Big Data

• Programming skills in R and Python

• Statistical skills and mathematics for descriptive and inferential statistics and experimental designs are also a must

• Good understanding of the tools used for programming machine learning

• Exposure to Supervised, Unsupervised, CNN, RNN and similar

• Good data wrangling skills with the ability to map raw data and convert it into another format that allows for a more convenient consumption of the data relevant to the business context

• Communication and Data Visualization skills as the role will involve playing a key role as a Lead Big Data/ ML Developer

Certifications

• Big Data in Hadoop certification is a must

• Cloud and Data Science related certifications are preferred

• R, Python and ML related certifications

Employment Type

• On Contract - Full Time. Initially for a period of three years, extendable by mutual consent

Location

• Mumbai