Job Description
As a Lead Data Engineer, you will collaborate with business partners in Sales & Marketing Analytics to identity opportunities to leverage big data technologies with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will use your skills in building data pipelines and knowledge of App Dev to enable data integration, data management, and analysis of massive data sets from multiple channels.
Responsibilities:
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Designs and develops complex and large-scale data structures and pipelines to organize, collect and standardize data to generate insights and addresses reporting needs
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Leads a team of onshore/offshore consultants to build out/maintain web applications
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Designs/problem solves web applications
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Writes complex ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing
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Develops frameworks, standards & reference material for architecture and associated products
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Applies knowledge of internal systems and products to consult and advise on additional efforts across multiple domains spanning broader enterprise
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Collaborates with data science team to transform data and integrate algorithms and models into highly available, production systems
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Uses in-depth knowledge on Hadoop architecture, HDFS commands and experience designing & optimizing queries to build scalable, modular, and efficient data pipelines
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Uses advanced programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems
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Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards
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Experiments with available tools and advice on new tools in order to determine optimal solution given the requirements dictated by the model/use case
Pay Range
The typical pay range for this role is:
Minimum: 95,000
Maximum: 209,000
Please keep in mind that this range represents the pay range for all positions in the job grade within which this position falls.
The actual salary offer will take into account a wide range of factors, including location.
Required Qualifications
7 or more years of progressively complex big data experience, including advanced knowledge in Java, Python, Hive, Cassandra, Pig, MySQL or NoSQL or similar
COVID Requirements
COVID-19 Vaccination Requirement
CVS Health requires certain colleagues to be fully vaccinated against COVID-19 (including any booster shots if required), where allowable under the law, unless they are approved for a reasonable accommodation based on disability, medical condition, religious belief, or other legally recognized reasons that prevents them from being vaccinated.
You are required to have received at least one COVID-19 shot prior to your first day of employment and to provide proof of your vaccination status or apply for a reasonable accommodation within the first 10 days of your employment. Please note that in some states and roles, you may be required to provide proof of full vaccination or an approved reasonable accommodation before you can begin to actively work.
Preferred Qualifications
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Strong communication skills, and an ability to work cross-functionally with other teams
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Angular, Java Script, React, Redis all a plus
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In-depth knowledge of large-scale search applications and building high volume data pipelines
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Ability to leverage multiple tools and programming languages to analyze and manipulate large data sets from disparate data sources
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Ability to understand and build complex systems and solve challenging analytical problems
Education
Bachelors degree or equivalent work experience in Computer Science, Engineering, Machine Learning, or related discipline.
Masters degree a plus.
Business Overview
Bring your heart to CVS Health
Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand - with heart at its center - our purpose sends a personal message that how we deliver our services is just as important as what we deliver.
Our Heart At Work Behaviors support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable.
We strive to promote and sustain a culture of diversity, inclusion and belonging every day.
CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.
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