Company: | Johnson & Johnson |
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Job Role: | Data Engineer |
Experience: | (3-5years): |
Vacancy: | 10+ |
Qualification: | Bachelor Degree In computer Science/Technology/ Engineering or related field |
Salary: | Upto Rs.7.2LPA |
Location: | Bengalore India |
Join us on Telegram | Click Here |
Apply Mode: | (Online) |
Deadline: | Not Mentioned |
- A minimum of Bachelor's degree in a technology related field (e.g. Computer Science, Engineering, etc.) or commensurate hands on experience required.
- 3-5 years or more of related experience in data engineering, analysis, data warehouses, data lakes. Specialist understanding and experience of methodologies like data warehousing, data visualization and data integration.
- Develop a solid understanding of the business, strategic direction, overall organizational goals and individual user needs.
- Work with Data modelers, solution and data architects to design and implement proof of concept solutions and Big Data Analytics solutions by integrating diverse data sources, model and harmonize and develop data assets consumption patterns that deliver on the desired customer experiences.
- Drive effective teamwork, communication, collaboration and adoption across Supply Chain, Commercial and R&D peers and vendor partners
- Act as a Coach and Mentor to drive Automation, DevOps and industry best practices to developing Data and Analytics solutions
- Demonstrate intellectual curiosity and collaborate with innovation and delivery teams to build data engineering expertise using structured and alternate data sources
- Create data warehouse solutions using Snowflake and other Cloud data warehouse solutions
- Create production-ready data workflows including automations, CI/CD pipelines and ensure data quality and availability
- Provide oversight and management of development activities and ensure consistent standards are being adhered to.
- Expert at ETL and ELT strategies for both unstructured and structured data to allow efficient analytics and modeling
- Collaborating with the Product Owners and Business Partners to review product requirements and user stories, propose viable implementation options, and define specific software tasks.
- Working in an agile development team to iteratively deliver system updates and product releases.
- Solid experience with Azure data warehousing and related technologies (Databricks, ADF, SQL DW, Power BI, ADLS, etc.) or other Cloud Data warehousing services.
- Strong expertise in all aspects of data movement technologies (ETL/ELT) and experience with schedulers.
- Experience with DevOps, Continuous Integration and Continuous Delivery. Developing and deploying pipelines preferred.
- Proven track record of working in collaborative teams to deliver high quality data solutions in a multi-developer agile environment following design & coding standard methodologies.
- Outstanding SQL skills and experience performing deep data analysis on multiple database platforms.
- Knowledge and expertise of data modeling techniques and standard methodologies (Relational, Dimensional), plus any experience with data modeling tools (eg. Power Designer).
- Excellent written and oral communication skills
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