Data Engineer
Kyndryl
full-time
Posted on:
Location Type: Office
Location: Bangalore • 🇮🇳 India
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudETLMongoDBNoSQLPostgres
About the role
- Ensure a treasure trove of pristine, harmonized data is at everyone's fingertips
- Engineer the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets
- Delve into the depths of information to uncover quality issues and initial insights
- Architect of data pipelines, using expertise to cleanse, normalize, and transform raw data into the final dataset
- Scrutinize data solutions, ensuring they align with business and technical requirements
- Lifecycle management expertise to ensure data remains fresh and impactful
Requirements
- 6–8 years of experience working as a Data Engineer or in Azure cloud modernization
- Good experience in Power BI for data visualization and dashboard development
- Strong experience in developing data pipelines and using tools such as AWS Glue, Azure Databricks, Synapse, or Google Dataproc
- Proficient in working with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB
- Excellent problem-solving, analytical, and critical thinking skills
- Ability to manage multiple projects simultaneously while maintaining a high level of attention to detail
- Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
- Professional development opportunities
- Employee learning programs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata pipelinesdata cleansingdata normalizationdata transformationdata miningETLrelational databasesNoSQL databasesdata visualization
Soft skills
problem-solvinganalytical skillscritical thinkingattention to detailproject management