Are you passionate about cutting edge technology? Is your dominant trait intense curiosity Are you ready to make discoveries while swimming in data? Do you desire to go beneath the surface of a problem, find the questions at heart, and extract them into a very clear set of hypotheses that can be tested? You are in the right place; working with Aetna gives you just that. Scrutinizing data in a world-class Hadoop cluster, generating insights to guide consumers in their journey to wellness, and help them achieve their health ambitions, whether its running the Inca Trail Marathon or playing tackle football with their grandkids? Aetnas Data Engineer team is focused on delivering strategically-impactful programs and tools to help members across all life stages feel the joy of achieving their best health, in their own way. Job location can be Hartford CT, Wellesley MA. Fundamental Components: Designs and develops complex and large scale data structures and pipelines to organize, collect, and standardize data to generate insights and addresses reporting needs. Writes complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing. Develop frameworks, standards & reference material for architecture and associated products. Designs data marts and data models to support Data Science and other internal customers. Behaves as a mentor to junior team members to provide technical advice. Applies knowledge of Aetna systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise. Collaborates with data science team to transform data and integrate algorithms and models into highly available, production systems. Uses in-depth knowledge on Hadoop architecture, HDFS commands and experience designing & optimizing queries to build scalable, modular, and efficient data pipelines. Uses advanced programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems. Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards. Experiments with available tools and advices on new tools to determine the optimal solutions given the requirements dictated by the model/use case. Background Experience: Strong collaboration and communication skills within and across teams. Ability to communicate technical ideas and results to non-technical clients in written and verbal form. 7 or more years of progressively complex related experience Advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar.Advanced knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries against data in the HDFS environment Ability to understand and build complex systems and solve challenging analytical problems. Experience building and implementing data transformation and processing solutions. Has in-depth knowledge of large scale search applications and building high volume data pipelines Experience with bash shell scripts, UNIX utilities & UNIX Commands. Proven ability to create innovative solutions to highly complex technical problems. Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources. Masters degree or PhD preferred. Bachelors degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.
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Test programs or databases, correct errors, and make necessary modifications.
Plan, coordinate and implement security measures to safeguard information in computer files against accidental or unauthorized damage, modification or disclosure.
Modify existing databases and database management systems or direct programmers and analysts to make changes.
Specify users and user access levels for each segment of database.
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