Job Location: Bengaluru
Why Kyndryl
Our world has never been more alive with opportunities and, at Kyndryl, we’re ready to seize them. We design, build, manage and modernize the mission-critical technology systems that the world depends on every day. Kyndryl is at the heart of progress — dedicated to helping companies and people grow strong. Our people are actively discovering, co-creating, and strengthening. We push ourselves and each other to seek better, to go further, and we carry this energy to our customers. At Kyndryl, we want you to keep growing, and we’ll provide plenty of opportunities to make that happen. Please be aware that we have the Kyndryl candidate zone hosted by IBM for a certain period. If you have applied for an IBM role previously, you will be able to log into the candidate zone using your previous IBM log in details. When in the candidate zone, you will be able to see your previous applications for both IBM and Kyndryl. For further information on privacy, please visit www.kyndryl.com/privacy.
Your Role and Responsibilities
- Work as part of a team to develop Cloud Data and Analytics solutions.
- Strong experience as an Azure Data Engineer and must have Azure Databricks experience.
- Demonstrated experience of turning business use cases and requirements into technical solutions.
- Expert level understanding on Azure Data Factory, Azure Data Lake, Azure SQL DW, and Azure SQL, Azure App Service is required.
- Experience in business processing mapping of data and analytics solutions.
- Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.
- The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.
- Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Stream Analytics is a plus.
- Knowledge of Python is a plus.
- Experience preparing data for Data Science and Machine Learning.
- Experience preparing data for use in Azure Machine Learning and/or Azure Databricks .
- Demonstrated experience preparing data and building data pipelines for AI Use Cases (text, voice, image, etc.…).
- Designing and building Data Pipelines using streams of IoT data.
- Knowledge of Lambda and Kappa architecture patterns.
- Knowledge of Master Data Management (MDM) and Data Quality tools and processes.
- Strong team collaboration and experience working with remote teams.
- Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals.
- Working experience with Visual Studio, PowerShell Scripting, and ARM templates.
- Experience with Git/TFS/VSTS is a must.
Required Technical and Professional Expertise
- 3+ years experience with Azure Data Engineering
- Hands-on experience in Azure Databricks – Mandatory
- Experience as Data Engineer in Azure Big Data Environment
- Expertise in ETL tools i.e. (SSIS, Data Stage)
- Expertise in Implementing Data Warehousing Solutions
- Experience with working in Agile (KANBAN, Scrumban) environment as part of a scrum team
- Programming experience in Scala or Python, T-SQL
- Hands-on experience in Azure stack (Azure Data Lake, Azure Data Factory – Optional
- Good understanding of Azure Databricks platform and ability to build data analytics solutions to support the required performance & scale
- Good understanding and experience working on Deltalake using Apache Delta in Azure Databricks
- Experienced working on performance tuning and optimizing long running jobs
- Demonstrated analytical and problem-solving skills, particularly those that apply to a big data environment
- Good Understanding of Modern Data Warehouse and Data Warehousing concepts
- Proficient in a source code control system (e.g. CodeCloud)
Preferred Technical and Professional Experience
• Python programmer
- DevOps – CD/CI Implementations
- Data Science skills – Model development, Training
- API development
- Strong knowledge of web services (WSDL Soap, Restful)
- Strong knowledge of the java/pythonframeworks (Spring MVC, Spring Security etc)
Required Education
Bachelors Degree
Preferred Education
Masters Degree
Being You @ Kyndryl
Kyndryl is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Kyndryl is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
Other things to know
When applying to jobs of your interest, we recommend that you do so for those that match your experience and expertise. Our recruiters advise that you apply to not more than 3 roles in a year for the best candidate experience.
For additional information about location requirements, please discuss with the recruiter following submission of your application.
Primary Job Category
Data Science
Role (Job Role)
Data Scientist
Employment Type
Full-Time
Contract Type
Regular
Position Type
Early Professional
Travel Required
No Travel
Company
(Y030) Kyndryl Solutions Private Limited
Is this role a commissionable / sales incentive based position
No
Submit CV To All Data Science Job Consultants Across Bharat For Free