Position: Senior Big Data Software Engineer
Company: Nixwood
Experience required: 5y
English level: upper

The company is a provider of software as a service and cloud-based remote connectivity services for collaboration, IT management and customer engagement. The company's products give users and administrators access to remote computers.

Responsibilities
Apply your broad knowledge of technology options, technology platforms, design techniques and approaches across the data warehouse lifecycle phases to design an integrated quality solution that address requirements
Ensure completeness and compatibility of the technical infrastructure required to support system performance, availability and architecture requirements
Design and plan for the integration for all data warehouse technical components
Provide input and recommendations on technical issues to the team
Responsible for data design, data extracts and transforms
Develop implementation and operation support plans
Lead architecture design and implementation of next generation BI solution
Build robust and scalable data integration (ETL) pipelines using AWS Services, EMR, Python, PiG and Spark
Mentor and develop other Junior Data Engineers
Build and deliver high quality data architecture to support Business Analysts, Data Scientists and customer reporting needs
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources

Requirements
Bachelor's degree in Computer Science required; Master’s degree preferred
7+ years of relevant experience in one of the following areas: Big Data Engineering, Datawarehouse, Business Intelligence or Business Analytics
7+ years of hands-on experience in writing complex, highly optimized SQL queries across large data sets
Demonstrated strength in data modelling, ETL development, and Data Warehousing
Experience with AWS services including S3, EMR, Kinesis and RDS
Experience with big data stack of technologies, including Hadoop, HDFS, Hive, Spark, Pig, Presto
Experience with delivering end-to-end projects independently
Experience with using AirFlow, creating and maintaining DAGs, Operators, and Hooks
Knowledge of distributed systems as it pertains to data storage and computing
Exceptional Problem solving and analytical skills
Knowledge of software engineering best practices across the development lifecycle; including, Agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
Proficient English (written and spoken) B2