Our Core Business Includes
- IT development servicesProviding customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
- New retail solutions and productsThrough intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
- Internet of Things (IoT) platform and solutionsComprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.
For more information, please visit www.beyondsoft.com.
- Design, Develop and maintain optimal data pipeline architecture and Design Patterns for data systems
- 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 and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- 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.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ 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.
Qualification & Skills
- Bachelor’s degree or higher in Computer Science/ Information Technology/ Engineering
- Minimum 4 years of experience in a Data Engineer role.
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including MSSQL (including SSIS), Postgres and Cassandra
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift, EKS, S3, Data Sync, Database Migration Service, Lambda, Glue
- Experience with stream-processing systems: Storm, Spark-Streaming, Kinesis, etc.
- Experience with orchestration tools: BMC Control-M, et
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
- Experience in ETL and shows passion with data engineering will be an added advantage