Role and Responsibilities: Extend, Maintain, and Deploy Backend applications (RESTful principles, GraphQL, Docker, CI/CD) Integrating Backend to Frontend Extend, Maintain, and Deploy Angular applications(UI/UX, API Integration, etc.) Suggest solutions and implementations based on the requirement Work with other developers and engineers Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, NoSQL and AWS \xe2\x80\x98big data\xe2\x80\x99 technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and AWS regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Qualifications: Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Advanced working knowledge and experience working with NoSQL databases. Experience building and optimizing \xe2\x80\x98big data\xe2\x80\x99 data pipelines, architectures and data sets. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. A successful history of manipulating, processing and extracting value from large disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable \xe2\x80\x98big data\xe2\x80\x99 data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with relational SQL and NoSQL databases, including Postgres and Cassandra. Experience with data pipeline and workflow management tools Experience with AWS cloud services: EC2, EMR, RDS, Redshift Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Who we are: We Move Walls To Measure, Reach, and Influence Real People in Physical Spaces. The digital disruption of out-of-home advertising has presented us with an opportunity for innovation and leadership. We use data and technology to design media solutions that empower our clients to measure, reach and influence consumers in the real world. In simple terms, we have created the industry platform for Outernet. Our proficiency in these fields has lead to us being recognised with more than 25 global and regional awards for media innovation, technology, and business leadership. If you can scope and build long-lasting relationships to drive revenue then this is the right role for you. Why join us? The real world, like the digital world, is about connections. We apply this to internal and external teams. We believe that we are not alone and that if we connect a few dots together, new possibilities emerge. We believe in co-creation.
Bachelor\'s or Equivalent