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Data Engineer
JOB SUMMARY
Roles
Job details
Abbott is a global healthcare leader that helps people live more fully at all stages of life.
Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines.
Our 114,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION:Working at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life.
You’ll also have access to:Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar yearAn excellent retirement savings plan with high employer contributionTuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
The OpportunityInterested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes.
The candidate will be responsible for big data engineering, data wrangling, and data analysis in the Cloud.
The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business.
The candidate will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems.
As a member of the Data Engineering Analytics team, you will be building big data collection and analytics capabilities to uncover customer, product and operational insights. Candidate should be able to work on a geographically distributed team to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark and Python.
The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives. #softwareWhat You'll DoDesign and implement data pipelines to be processed and visualized across a variety of projects and initiativesDevelop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native servicesDesign and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3Integrate and assemble large, complex data sets that meet a broad range of business
requirements
Read, extract, transform, stage and load data to selected tools and frameworks as required and requestedCustomizing and managing integration tools, databases, warehouses, and analytical systemsProcess unstructured data into a form suitable for analysis and assist in analysis of the processed dataWorking directly with the technology and engineering teams to integrate data processing and business objectivesMonitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful designCreate software architecture and design documentation for the supported solutions and overall best practices and patternsSupport team with technical planning, design, and code reviews including peer code reviewsProvide Architecture and Technical Knowledge training and support for the solution groupsDevelop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QAStay current with emerging trends, making recommendations as needed to help the organization innovateRequired
Qualifications
Bachelors Degree in Computer Science, Information Technology or other relevant fieldAt least 1-3 years of recent experience in Software Engineering, Data Engineering or Big DataAbility to work effectively within a team in a fast-paced changing environmentKnowledge of or direct experience with Databricks and/or SparkSoftware development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectivesKnowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sourcesKnowledge of data cleaning, wrangling, visualization and reportingAbility to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experienceFamiliarity of databases, BI applications, data quality and performance tuningExcellent written, verbal and listening communication skillsComfortable working asynchronously with a distributed team Preferred
Qualifications
Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and LambdaExperience working in an agile environmentPractical Knowledge of LinuxApply NowLearn more about our health and wellness
benefits
, which provide the security to help you and your family live full lives: www. abbott
Benefits
.
comFollow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at www. abbott. com, on Facebook at Abbott" rel="nofollow ugc noopener noreferrer" target="_blank">www. facebook. com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is $61,
300. 00 – $122,
700. 00In specific
location
s, the pay range may vary from the range posted. JOB FAMILY:Product DevelopmentDIVISION:ADC Diabetes Care
LOCATION
:United States California : RemoteADDITIONAL
LOCATION
S:WORK SHIFT:StandardTRAVEL:Not specifiedMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage. abbott. com/common/External/EEO_English. pdfEEO is the Law link - Espanol: http://webstorage. abbott. com/common/External/EEO_Spanish. pdf.
Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines.
Our 114,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION:Working at AbbottAt Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life.
You’ll also have access to:Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar yearAn excellent retirement savings plan with high employer contributionTuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.
The OpportunityInterested in applying your wealth of technical knowledge and experience towards an opportunity in the medical field and improving the lives of people with diabetes.
The candidate will be responsible for big data engineering, data wrangling, and data analysis in the Cloud.
The role will also contribute to defining and implementing Big Data Strategy for the organization along with driving the implementation of IT solutions for the business.
The candidate will be working with other data engineers, data analysts and data scientists to focus on applying data engineering, data science and machine learning approaches to solve business problems.
As a member of the Data Engineering Analytics team, you will be building big data collection and analytics capabilities to uncover customer, product and operational insights. Candidate should be able to work on a geographically distributed team to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark and Python.
The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives. #softwareWhat You'll DoDesign and implement data pipelines to be processed and visualized across a variety of projects and initiativesDevelop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native servicesDesign and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3Integrate and assemble large, complex data sets that meet a broad range of business
requirements
Read, extract, transform, stage and load data to selected tools and frameworks as required and requestedCustomizing and managing integration tools, databases, warehouses, and analytical systemsProcess unstructured data into a form suitable for analysis and assist in analysis of the processed dataWorking directly with the technology and engineering teams to integrate data processing and business objectivesMonitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful designCreate software architecture and design documentation for the supported solutions and overall best practices and patternsSupport team with technical planning, design, and code reviews including peer code reviewsProvide Architecture and Technical Knowledge training and support for the solution groupsDevelop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QAStay current with emerging trends, making recommendations as needed to help the organization innovateRequired
Qualifications
Bachelors Degree in Computer Science, Information Technology or other relevant fieldAt least 1-3 years of recent experience in Software Engineering, Data Engineering or Big DataAbility to work effectively within a team in a fast-paced changing environmentKnowledge of or direct experience with Databricks and/or SparkSoftware development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectivesKnowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sourcesKnowledge of data cleaning, wrangling, visualization and reportingAbility to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experienceFamiliarity of databases, BI applications, data quality and performance tuningExcellent written, verbal and listening communication skillsComfortable working asynchronously with a distributed team Preferred
Qualifications
Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and LambdaExperience working in an agile environmentPractical Knowledge of LinuxApply NowLearn more about our health and wellness
benefits
, which provide the security to help you and your family live full lives: www. abbott
Benefits
.
comFollow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at www. abbott. com, on Facebook at Abbott" rel="nofollow ugc noopener noreferrer" target="_blank">www. facebook. com/Abbott and on Twitter @AbbottNews and @AbbottGlobal.
The base pay for this position is $61,
300. 00 – $122,
700. 00In specific
location
s, the pay range may vary from the range posted. JOB FAMILY:Product DevelopmentDIVISION:ADC Diabetes Care
LOCATION
:United States California : RemoteADDITIONAL
LOCATION
S:WORK SHIFT:StandardTRAVEL:Not specifiedMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day)Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: http://webstorage. abbott. com/common/External/EEO_English. pdfEEO is the Law link - Espanol: http://webstorage. abbott. com/common/External/EEO_Spanish. pdf.
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Abbott United States
