Big Data - Senior Engineer

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Job Description
Join development in Hadoop-eco system project
Contribute technical solutions and architecture
Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables
Be senior at working attitude: pro-activeness, hard-working, ready to face with problem and fixing it
Possible support other team mates or skill of leading

Qualifications
3+ years of relevant work experience
Knowledge of data warehousing concepts, methodologies, and frameworks
Extract Transform Load (ETL) experience using Spark, Kafka, Hadoop, or similar technologies
Strong understanding of Spark, including manipulating data with Pig, Hive and potentially Scala or Python
Experience with NoSQL databases, such as MongoDB, Cassandra
Experience in creating reports and dashboards (Kibana, Tableau, or similar tools)
Familiarity with streaming platforms like Apache Kafka or similar frameworks
Experience with Lambda Architecture or other Big Data architectural best practices
Solid understanding experience in building RESTful APIs and microservices
Additional Information
 
         Committed 13-month bonus
         Collaboratively yearly performance bonus
         Meal & Parking allowances
         Premium insurance (PVI) for employee and 2 family members
         Overseas training programs and working onsite opportunity
         Good benefits of Trade Union activities, team building and company trip.
         Opportunity to work in global projects of fast developing companyand being a part of innovation team contributing initiative ideas to the hi-tech world.
         Engage in our diverse training programs which surely help strengthen both your personal and professional skills

- Committed 13-month bonus