Data Analyst

Responsibilities

• Work closely with the Software Engineering team with responsibility for the following task:
• Responsible for developing programs for large Application Services in the Big Data and Data Warehouse space.
• In charge of executing data mapping and lineage strategy for the organization
• Translate business requirements to technology implementation.
• Work together with senior team members such as CIO, Faculty Dean & Professor, Business Analysts, QA, etc. to implement the development.
• Work on disparate data sets, carry out analysis of vast data stores and uncover insights.
• Responsible for future Hadoop development and implementation.
• Responsible for developing scalable and high‐performance web services for data tracking.
• Evaluate new decision-making dashboard technology options, recommending the adoption of the new dashboard and ETL technologies into the solution.
• Implementation of digitalization or automation.

Requirements

• Possess a bachelor’s degree or Diploma in Computer Science / Big Data Engineering.
• 2+ years experience designing and developing commercial-grade dashboard data modeling using tools like Grafana or Superset.
• Experience with integration of data from multiple data sources Oracle SQL, MSSQL, MySQL, PostgresSQL, and MongoDB.
• Knowledge of various ETL techniques and frameworks, such as Pentaho, Stitch, or SSIS (SQL Server Integration Services)
• Relational Data modeling.
• Knowledge of web dashboard decision-making usability trends.
• Experience with various messaging systems, such as Kafka or RabbitMQ.
• Experience collaborating effectively with team members and partners in a distributed project environment.
• Problem Solving: Ability to analyze and resolve complex infrastructure resource and application deployment issues.
• Analytical mindset: in addition to technical expertise, it is essential that applicants have the technical understanding to translate business requirements into efficient technical solutions
• Flexibility: IT is dynamic and rapidly changing, so employers often seek individuals with a proven record of working within a fast-paced, dynamic, team-oriented environment
• Collaboration skills: Big Data Developers work with other developers, business analysts, ETL Architects, etc. Therefore, they must be comfortable working together with others within the functional units, external stakeholders, and client organizations
• Communication skills: It is important that big data developers can listen actively to understand client needs and business requirements, and communicate with them both verbally and in writing.
• Basic Knowledge of Microsoft .NET will be advantages
• Professional commitment to high quality, and a passion for learning new skills.
• Detail-oriented individual with the ability to rapidly learn new concepts and technologies.
• Must be a strong team player with the ability to communicate and collaborate effectively in a geographically disperse working environment.

• Desired Skills (Not essential but beneficial to have):

• Experience with Big Data ML toolkits, such as Mahout, SparkML, or H2O.
• Knowledge: Applicants for the job must possess experience in developing large scale enterprise applications for internal or external customers using Big Data open-source solutions such as Hadoop, Spark, Kafka, and Elastic Search
• Deep understanding of Agile principles, with experience in scrums, implementing user stories, writing designs, and delivering near-real-time applications. Applicants must also have capabilities using ETL, data quality, and data integration utilizing tools such as Informatica and Ab Initio.