Big Data
About the role
- At least 4-5+ years application Big Data project implementation experience including requirements gathering, architecture, functional and technical design.
- Experience in Kafka preferred
- At least 3 years of experience in leading technical teams and Client-facing Skills
- Experience in understanding new architectures and ability to drive an independent project from an architectural stand point
- Extensive experience in Solution Architecture, Design and Development for one or more projects
- Should be well versed with Big Data Landscape, Data warehousing and Business Intelligence
- Should have hands-on experience in any of the big data technologies like Map reduce, Hadoop, Hive, Spark, Kafka, Scala, Flume, Sqoop, Hbase etc. to complete POCs, review code and guide the team
- Should have had experience in playing the role of a lead architect for at least 2-3 Big Data implementations
- Should have in-depth experience in implementing Big data platforms on one of the leading distributions (Cloudera, Hortonworks or MapR)
- Candidate should also have good knowledge of Big Data architecture patterns, design patterns, estimation techniques, performance tuning and trouble shooting
- Analytical and problem solving skills
- Bachelor's degree or foreign equivalent required.
- Will also consider one year of relevant work experience in lieu of every year of education
- At least 3-4 years of experience working in Big Data Technologies
- At least 6-8+ years of experience in Data warehousing
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.
