Big Data Engineer / Sr. Big Data Engineer


: $83,690.00 - $125,470.00 /year *

Employment Type

: Full-Time


: Information Technology

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Job Description
Odysseus Data Services (Odysseus), a fast-growing start-up company, has an exciting opening for a Big Data Engineer / Sr. Big Data Engineer. This role will be responsible for developing complex data solutions in Pharmaceutical, Healthcare and Payer industries, while utilizing all aspects of cutting-edge Big Data technologies / platforms (Hadoop, Spark, Hive, Impala, RedShift, Cloudera and AWS). The candidate will be a part of the team focused on building data marts as a part of the Real-World Evidence solution to provide leading-edge clinical and commercial insights to the life sciences organizations with the goal of transforming medical treatment research and improving outcomes for patients.
Odysseus is looking for a self-driven individual who can hit the ground running, quick learner and wants to be a part of our dynamic global team. The position is based out of our office in Newtown, PA.
Data management and Big Data Engineering e.g. complex ETL, data analysis, data mappings, advanced transformations.
Architect and utilize Big Data Platforms for Big Data projects.
Develop solutions in Agile fashion following Scrum process and Test-Driven approach enabled with Atlassian tools (JIRA, Confluence).
Develop solutions by applying industry best practices and coding standards
Document architecture design by creating necessary architecture artifacts, including UML domain models, component and deployment diagrams. Document business requirements as user stories.
Design secure and compliant solutions by implementing necessary application security and following various regulatory laws (HIPAA, GDPR).
Be a part of the dynamic open source observational research OHDSI community, participate in workshops, hackathons and collaborate to implement observational research solutions e.g. have a fun time developing cutting edge solutions.

Bachelor or Masters degree in Information Technology or Computer Science or equivalent experience in information technology and software development is required.
Complex SQL, including Spark SQL, Hive QL;
Practical experience with ETL and big data processing;
Practical experience with RDBMS (any of the following - Oracle, PostgreS, MySQL, SQL Server);
Practical experience with Hadoop e.g. Spark, Hive, Impala;
Practical experience with one of the following platforms: Apache Hadoop, AWS, GCP and Cloudera;
Experience in administering the Big Data platform infrastructure is a big plus.
Knowledge of Python, Scala is a big plus;
Experience is solving DevOps-related tasks will be a plus;

Experience designing and developing solutions using Agile software development approach
Experience with OMOP CDM, OMOP Standardized Vocabularies, ATLAS and other tools, methods and standards developed by OHDSI community is a big plus
Associated topics: data architect, data management, data quality, data warehouse, data warehousing, database administrator, erp, hbase, mongo database administrator, teradata * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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