Hands-on building of ETL pipelines using our internal framework written in Python
Hands-on solutioning of real time REST APIs or other solutions for streaming data from Graph
Modify existing application code or interfaces or build new application components from detailed requirements.
Analysis of requirements, support of the design, development of the code, testing, debugging, deployment, and maintenance of those programs and interfaces. Documentation of the work is essential
Participation in most aspects of programming and application development, including file design, update, storage, and retrieval
Enhance processes to resolve operational problems and add new functions taking into consideration schedule, resource constraints, process complexity, dependencies, assumptions and application structure
Ability to maintain the developed solution on an on-going basis is essential
Ability to follow the existing development methodology and coding standards, and ensure compliance with the internal and external regulatory requirements
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Acquire data from primary or secondary data sources and maintain databases/data systems
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities.
Document design and data flow for existing and new applications being built.
Co-ordinate with multiple different teams QA, Operations and other development teams within the organization.
Testing methods, including unit and integration testing (JUnit, JMock)
Ability to integrate with large teams, demonstrating strong verbal and written communication skills.
Utilization of software configuration management tools
Code deployment and code versioning tools
Excellent Communication Skills
Qualifications:
Bachelor’s degree preferably with Computer Science background.
At least 5+ years of experience implementing complex ETL pipelines preferably with Spark toolset.
At least 5+ years of experience with Java particularly within the data space
Technical expertise regarding data models, database design development, data mining and segmentation techniques
Good experience writing complex SQL and ETL processes.
Excellent coding and design skills, particularly in Java/Scala and Python and or Java.
Experience working with large data volumes, including processing, transforming and transporting large-scale data.
Experience in AWS technologies such as EC2, Redshift, Cloud formation, EMR, AWS S3, AWS Analytics required.
Big data related AWS technologies like HIVE, Presto, Hadoop required.
AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data
Excellent working knowledge of Apache Hadoop, Apache Spark, Kafka, Scala, Python etc.
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Good understanding & usage of algorithms and data structures
Good Experience building reusable frameworks.
Experience working in an Agile Team environment.
AWS certification is preferable: AWS Developer/Architect/DevOps/Big Data
Excellent communication skills both verbal and written.