Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts. We are looking for a BigData developer to implement 35-300 billions records AWS based storage for genotypes data, Data Access Layer API to be used by 10+ applications.
The project is aiming for storing and serving genotype information which is currently handled by two different existing systems. The project aims to promote data availability to support multiple key R&D processes in genotype data production, data aggregations, data imputations, hapmap construction, breeding decisions, and assay design by having centralized access to all investments in genotyping data (assay - internal & external genotyping technologies and sequence based – NGS & GBS). Project’s major design principles: · provide a unified API for Genotypes, decreasing the impact of internal code changes for downstream application and making genotypes easy to consume; · scalable in terms of data volume and allowing multiple loading processes simultaneously; · extensible to minimize the amount of development effort needed for implementing new business functionalities.
Help in evolving data analytics, data warehouse, ETL, and big data capabilities to achieve the best possible solutions for our business and applications;
Integrate, improve, productize POCs;
Develop REST services;
Implement imports/exports/data copying from upstream applications;
Partner with the business and development teams to deliver data solutions and respond to support and enhancement inquires;
Collaborate with our data modeler and data architects, to help improve our data delivery, security and reporting capabilities for the enterprise;
Work with distributed team.
Big Data, AWS, Java are the primarily one;
Spring, REST, Spring Boot, Spark;
Performance optimization experience;
3+ years of experience in design, development, deployment and support activities using Enterprise ETL platforms or other data integration tools or processes.
Nice to have
Athena, EMR, Airflow, Scoop.
Competitive compensation depending on experience and skills;
Individual career path in engineering;
Social package - medical insurance, sports;
Compensation for sick lists and regular vacations;
English classes with native speakers (certified English teachers);