Hadoop Developer
About the role
- -At least 2 years of experience in Big Data space.
- Strong Hadoop – MAP REDUCE/Hive/Pig/SQOOP/OOZIE - MUSTCandidate should have hands on experience with Java, APIs, spring – MUSTGood exposure to columnar NoSQL DBs like HBase.
- Complex High Volume High Velocity projects end to end delivery experience
- Good experience with at least one of the scripting language like Scala, Python.
- Good exposure to BigData architectures.
- Experience with some framework building experience on HadoopVery good understanding of Big Data eco system
- Experience with sizing and estimating large scale big data projects
- Good with DB knowledge with SQL tuning experience.
- Experience with Impala Good exposure to SplunkGood exposure to Kafka
- Experience with Apache Parquet Data format
- Past experience and exposure to ETL and data warehouse projects
- Experience with Spark, Flume
- Cloudera/ Hortonworks certified
- Experience and desire to work in a Global delivery environment
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
