Customertimes
Location
São Paulo, SP | Brazil
Job description
About us Customertimes is a consulting firm that delivers true business transformations through the implementation of salesforce solutions. With more than 15 years of client-focused experience and 4000+ engagements in 63 countries, we are proud to be known as a trusted partner of the world’s leading enterprises. We don’t just give advice. We deliver tangible business results that help our customers get the maximum value from their technology investments. Headquartered in New York, we have offices in Paris, Toronto, London, Kyiv and soon-to-be in South America! The ideal candidate will be responsible for working with project managers, quantitative scientists, clinical data analysts, and research oncologists on CSS to curate the delivery of datasets that meet contractually specified requirements in support of our life science partners’ research. Your role as an engineer is to design, build, and manage our data pipelines using an in-house ETL tool coded primarily in SQL and Python. Responsibilities Create ETL pipelines in code and link them up to internal tooling Monitor CI/CD processes to ensure ETL pipelines continue to run smoothly Coordinate with clinical data analysts to queue patient-based data extraction Collaborate with clinical data analysts to ensure the data meets quality standards Handle ad-hoc requests from CSS folks about the patient-level data Package and deliver the outputs of ETL pipelines to AWS S3 for client access Context switch between multiple ETL pipelines and CSS stakeholders Make recommendations on code and process efficiency improvements Collaborate effectively with other engineers through the use of Git and merge requests (or similar version control tools) Qualifications Bachelor's degree or equivalent experience in Computer Science or related field Development experience with programming languages Experience with SQL database or any relational database skills, Postgres preferred 4+ years of experience with Python Experience CICD, Redshift and AWS environment (Lambda, S3 and Glue) Experience with at least one ETL tool Experience with data to debug ETL pipelines Experience comunicating effectively with non-technical stakeholders Advanced English Level (all interviews will be conducted in English) Please submit your CV in English Benefits and Perks Full-time remote position Personal Development Plan Quality working equipment Work-life balance Flexible work time Paid certification program Vacation, holidays and sick leaves Diverse and multicultural work environment. Competitive salary Referral program Diversity and teamwork are key in our organization. We pride ourselves on being a team of creative, proactive, and driven people who bring the best to our clients and each other every day.
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