Estuate - Big Data Solution Architect

Immediate opening for Solution Architect - Big Data

Responsibilities:

- Development of implementation proposals and design of scalable big data architecture and solutions

- Participate in customer's workshops and presentation of the proposed solution with the ability to clearly articulate pros and cons of various technologies and platforms;

- Design, architect, implement, and deploy high-performance, custom applications at scale on Hadoop

- Design and development of network infrastructure solutions which enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic;

- Define business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis;

- Perform detailed analysis of business problems and technical environments and use this in designing the solution;

- Develop implementation strategy and best practices around data science initiatives including but not limited to areas of recommendation engines, predictive modeling, and machine learning;

- Help program and project managers in the design, planning and governance of implementing projects of any kind

- Review and audit of existing solution, design and system architecture;

- Perform profiling, troubleshooting of existing solutions;

- Create technical documentation.

Qualifications:

- Strong knowledge of programming and scripting languages such as Java, Python, Ruby, or/and R;

- Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, Oozie, HBase, Mahout, ZooKeeper, Flume, Spark, MongoDB, and Cassandra;

- Experience with big data solutions developed and deployed in large cloud computing infrastructures such as Amazon Web Services, Elastic MapReduce;

- Should have experience in designing solutions for multiple large data warehouses with a good understanding of high performing architectures as well as high-scale or distributed RDBMS and knowledge on NoSQL platforms such as Couchbase, Elasticsearch, RabbitMQ, MongoDB, Cassandra, Redis, etc.

- Must have proven experience with cross-industry, cross-functional and cross-domain know-how

- Data Science and Analytics experience is a plus (Machine Learning, Recommendation Engines, Search Personalization);

- Experience working with ETL tools such as Informatica, Talend and/or Pentaho is a plus

- Demonstrated project management experience in Agile (Scrum), which includes project planning, execution, risk management, and resource management;

- Strong experience in applications design, development and maintenance;

- Solid knowledge of design patterns and refactoring concepts;

- Practical expertise in performance tuning and optimization, bottleneck problems analysis;

- Possess expertise in Object-Oriented Analysis and Design;

- Excellent written and verbal communication skills with the ability to explain the work in plain language