Database Engineer/Administrator/Analyst
Kyndryl • Dallas, TX3d
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Database Engineer/Administrator/Analyst
Kyndryl•Dallas, TX
About The Position
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you'll be at the forefront of the data revolution, crafting and shaping data platforms that power our organization's success. This role is not just about code and databases; it's about transforming raw data into actionable insights that drive strategic decisions and innovation. In this role, you'll be engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets. With a well-defined methodology, critical thinking, and a rich blend of domain expertise, consulting finesse, and software engineering prowess, you'll be the mastermind of data transformation. Your journey begins by understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle. You'll be delving into the depths of information to uncover quality issues and initial insights, setting the stage for data excellence. But it doesn't stop there. You'll be the architect of data pipelines, using your expertise to cleanse, normalize, and transform raw data into the final dataset—a true data alchemist. Armed with a keen eye for detail, you'll scrutinize data solutions, ensuring they align with business and technical requirements. Your work isn't just a means to an end; it's the foundation upon which data-driven decisions are made – and your lifecycle management expertise will ensure our data remains fresh and impactful. So, if you're a technical enthusiast with a passion for data, we invite you to join us in the exhilarating world of data engineering at Kyndryl. Let's transform data into a compelling story of innovation and growth.
Requirements
- Expertise in data mining, data storage and Extract-Transform-Load (ETL) processes
- Experience in data pipelines development and tooling, e.g., Glue, Databricks, Synapse, or Dataproc
- Experience with both relational and NoSQL databases, PostgreSQL, DB2, MongoDB, SQL Server
- Excellent problem-solving, analytical, and critical thinking skills
- Ability to manage multiple projects simultaneously, while maintaining a high level of attention to detail
- Communication Skills: Must be able to communicate with both technical and non-technical colleagues, to derive technical requirements from business needs and problems
Nice To Haves
- Experience working as a Data Engineer and/or in cloud modernization
- Experience in Data Modelling, to create conceptual model of how data is connected and how it will be used in business processes
- Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization
- Cloud platform certification, e.g., 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, e.g., GitHub and Visual Studio
- Degree in a scientific discipline, such as Computer Science, Software Engineering, or Information Technology
Responsibilities
- Crafting and shaping data platforms that power our organization's success.
- Transforming raw data into actionable insights that drive strategic decisions and innovation.
- Engineering the backbone of our data infrastructure, ensuring the availability of pristine, refined data sets.
- Understanding project objectives and requirements from a business perspective, converting this knowledge into a data puzzle.
- Delving into the depths of information to uncover quality issues and initial insights.
- Architecting data pipelines, using expertise to cleanse, normalize, and transform raw data into the final dataset.
- Scrutinizing data solutions, ensuring they align with business and technical requirements.
- Ensuring data remains fresh and impactful through lifecycle management expertise.
Benefits
- Opportunities for hands-on experience
- Learning opportunities
- Chance to certify in all four major platforms
- Employee learning programs give access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
- Company-wide volunteering and giving platform allows employees to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
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