Big Data/Cloud
About the role
- 7 years of experience as a Data Analyst and Architect.
- Strong experience in Big Data, NoSQL Databases. Strong Experience in Mongo DB, Storm, HDFS, Hive and Big Data related components.
- Strong Experience in BI technologies
- Deep Understanding of JAVA, Linux/Unix.
- Should have proficient in data architecture, data marts and dimensional modeling
- Analysis and understanding of upstream and downstream data needs for analytics.
- Ability to work and liaison with consumers across business units.
- Good experience to use SQL queries and other tools to perform data analysis and profiling
- Should show strong communication skills and the ability to liaison with different teams including Customer Central business to analyze the data.
- Review the code developed and suggest any issues w.r.t customer data.
- Should have knowledge and understanding of integration architect, ETL tools and features
- Should be able to manage IT and business stakeholders, conduct assessment interviews, solution review sessions
- Cloud Exposure Preferred AzureSpark knowledge is a plus.
- Understanding of market and technology trends.
- Strong Analytical skills
- Experience and desire to work in a management consulting environment that requires regular travel
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.
