Database Administrator
Kyndryl · Dallas, TX · 1 wk ago
On-siteAnalystFull-time
About the role
As a Data Engineer at Kyndryl, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role involves ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
Responsibilities
- Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips.
- Crafting and shaping data platforms that power our organization's success.
- Engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets.
- Delving into the depths of information to uncover quality issues and initial insights.
- Architecting data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset.
- Scrutinizing data solutions to ensure they align with business and technical requirements.
- Maintaining a high level of attention to detail in managing multiple projects simultaneously.
Requirements
- Expertise in data mining, data storage, and Extract-Transform-Load (ETL) processes.
- Experience in data pipelines development and tooling, such as Glue, Databricks, Synapse, or Dataproc.
- Experience with both relational and NoSQL databases, including PostgreSQL, DB2, and MongoDB.
- Excellent problem-solving, analytical, and critical thinking skills.
- Able to manage multiple projects simultaneously while maintaining a high level of attention to detail.
- Strong communication skills, capable of communicating with both technical and non-technical colleagues.
Qualifications
- Professional certification, such as Open Certified Technical Specialist with Data Engineering Specialization.
- Cloud platform certification, such as AWS Certified Data Analytics – Specialty, Elastic Certified Engineer, Google Cloud Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate.
- Understanding of social coding and Integrated Development Environments, such as GitHub and Visual Studio.
- A degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology.
Skills
- Expertise in data mining, data storage, and ETL processes.
- Experience in data pipelines development and tooling.
- Experience with both relational and NoSQL databases.
- Excellent problem-solving, analytical, and critical thinking skills.
- Strong communication skills.
- Professional certification in data engineering.
- Cloud platform certification.
- Understanding of social coding and Integrated Development Environments.
- A degree in a scientific discipline.
Benefits
At Kyndryl, we offer a range of benefits to support your well-being and career growth, including:
- State-of-the-art resources and Fortune 100 clients.
- Opportunities for innovation, building new capabilities, and supporting your family through the moments that matter.
- Access to employee learning programs and certifications.
- Volunteering and giving platform to support non-profit organizations.
Pay
Details on pay are not specified in the job posting.
Schedule
Details on schedule are not specified in the job posting.