Job Description : Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 125 years. We embrace research and science -- bringing creative ideas, products and services to advance the health and well-being of people. Every day, our more than 130,000 employees across the world are blending heart, science and ingenuity to profoundly change the trajectory of health for humanity. Johnson & Johnson India Supply Chain: We are the Enterprise Supply chain for Johnson & Johnson. Our goal is to be the best supply chain in the world, and we challenge ourselves each day to deliver innovative solutions that enable healthy outcomes for patients and Consumers. With our agility and responsiveness, we deliver differentiated customer experience creating competitive advantage for J&J India. Our commitment is to put our many and diverse customers at the center of everything we do. We imbibe Faster Forward mindset driving three fundamental principles: Deliver Agile customer solution, Faster Track Innovation and End to end value creation. J&J India supply chain collaborates & synergize across three sectors, Consumer, Medical and Pharmaceuticals. We are supported by strong infrastructure comprising of 4 in-house manufacturing sites, more than 20 third party manufacturing partners and around 40 distribution centers. We continue our efforts to optimize our supply chain network. J&J supply chain seamlessly integrates across Plan, Make, Source and Deliver. India Supply Chain has constant focus in building diverse and professional workforce. Job Description: Johnson & Johnson is recruiting for a Lead Engineer - Data Engineering located in Bangalore. - Johnson & Johnson Enterprise Supply Chain's Digital & Analytics group requires qualified, skilled and experienced data engineers who can handle large volumes of data stored in different storage systems in the supply chain data management team. Suitable candidates should be able to identify the required data for any given operation and build a pipeline for extracting the data and identify computing resource needs to process them. - We are looking for hardworking data engineering subject matter expert with good working experience on databases. The ideal candidate will have a sound experience on large data sets, ability to architect storage of large data sets, hands-on in writing SQL or equivalent queries to identify and extract data, use scripts or equivalent services to extract large amount of data in real time from multiple sources to build a data pipeline, excellent communication skills, proven track record of leadership, comfortable in interfacing with different stakeholders and different teams/groups for project purpose, a passionate change agent and should constantly keep pace with industry trends and emerging technologies. Candidate should have a passion for conceptualization, prototyping, & developing data architecture, to enable utilization of such data for advance analytics-based products, applications & solutions. Key Responsibilities: - Work with business teams to understand the problem statement, identify the different stake holders and systems. - Ability to work with different teams/groups within/outside the organization and supplier partners to ensure smooth end-to-end delivery of the projects. - Identify, design, develop and test database architectures and largescale processing solutions. - Guiding and leading the project delivery team and Hands on development work. - Recommend and implement ways to improve data reliability, efficiency and quality. Propose tools and languages to marry data sources together to hunt down opportunities provided by the data acquisition - Conduct research to answers to business questions around data - Develop data set processes for data modeling, mining and production and leverage large volumes of data - Automate work to build pipelines to harness data from their source to be used in advanced analytic techniques. - Willing to undertake domestic or international travel as required by the projects. - Managing vendor resources and deliveries Qualifications : Education: - B.E /B. Tech or M.E / M.Tech with 7-10 years Experience and Skills: - A minimum of a bachelor's degree in Computer Engineering/IT is required. - A minimum of 7-10 years of practical work experience in an IT, engineering, or related technical field is required. - Expert in SQL/Impala/Hive or similar query languages - Advanced knowledge with big data tools: Hadoop, Spark, Kafka, etc. - Expert in Writing UNIX Shell Scripts, Oozie; - Experience of leading and delivering data engineering projects is required. - Demonstrable project experience using cloud technologies such as Microsoft Azure Data factory is required. - Should be full stack engineering, big data technologies and Devops subject matter expert. - Managing vendor resources and deliveries Preferred Knowledge, Skills and Abilities: (Include any preferred computer skills, certifications, licenses, languages, etc. or abilities that are assets to performing in the role. - Knowledge and working experience as a techno-functional consultant on ERP systems such as SAP or JDE is preferred. - Knowledge on Java/Python/Spark/Scala is preferred. - Familiarity with Version control repository like Bitbucket/GIT etc. - Familiarity with Cognos/Informatica/Teradata. - Familiarity with Visualization tools such as Tableau, Alteryx or Power BI a plus - Well versed with Agile methodology and experience of project delivery using Jira, Confluence. Functional Competencies: - Experience in working with different big data storage and compute technologies is required - Should be an expert in understanding the data landscape and ability to engineer solutions to create a pipeline to harness data. - Experience in understanding the need for quality in data, transformation, need for harmonization of the data and generate visualization dashboards / reports. - Functional knowledge of the Supply Chain processes in SAP/JDE ERP systems is an added advantage Behavioral Competencies - Good understanding of data engineering concepts is a must. - Good Communication skills. - Attention to detail and love of learning. - Ability to mentor the team on the landscape and technology stack to use. Other requirements: - Percentage Traveled: 10% Are you ready to impact the world? - Johnson & Johnson offers an unusual experience to professionals looking for an opportunity to work with hardworking people who share your real passion for caring in an environment that empowers you to drive your own career. - We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. - This description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. The apply button will redirect you to an external URL, please apply there as well.

Bangalore

Karnataka

Johnson & Johnson - Lead - Data Engineering 

Johnson & Johnson - Lead - Data Engineering  ,Job Description for Johnson & Johnson - Lead - Data Engineering  in Johnson & Johnson Pvt. Ltd in  Bangalore Karnataka for (7-10) years of experience. Apply Now!

Job Description for Johnson & Johnson - Lead - Data Engineering  in Johnson & Johnson Pvt. Ltd in  Bangalore Karnataka for (7-10) years of experience. Apply Now!