Data Consultant-GCP Data Engineer
1 week ago
Who We Are
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.
The Role
Responsibilities:
- Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
- Participate in architectural discussions, conduct system analysis, and suggest optimal solutions that are scalable, future-proof, and aligned with business requirements.
- Collaborate with stakeholders to gather requirements and create high-level and detailed technical designs.
- Design data models suitable for both transactional and big data environments, supporting Machine Learning workflows.
- Build and optimize ETL/ELT infrastructure using a variety of data sources and GCP services.
- Develop and maintain Python / PySpark for data processing and integrate with GCP services for seamless data operations.
- Develop and optimize SQL queries for data analysis and reporting.
- Monitor and troubleshoot data pipeline issues to ensure timely resolution.
- Implement data governance and security best practices within GCP.
- Perform data quality checks and validation to ensure accuracy and consistency.
- Support DevOps automation efforts to ensure smooth integration and deployment of data pipelines.
- Provide design expertise in Master Data Management (MDM), Data Quality, and Metadata Management.
- Provide technical support and guidance to junior data engineers and other team members.
- Participate in code reviews and contribute to continuous improvement of data engineering practices.
- Implement best practices for cost management and resource utilization within GCP.
Your Future at KyndrylEvery position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.
Who You Are
- Bachelor's or master's degree in computer science, Engineering, or a related field with over 8 years of experience in data engineering
- More than 3 years of experience with the GCP data ecosystem
- Hands-on experience and Strong proficiency in GCP components such as Dataflow, Dataproc, BigQuery, Cloud Functions, Composer, Data Fusion.
- Excellent command of SQL with the ability to write complex queries and perform advanced data transformation.
- Strong programming skills in PySpark and/or Python, specifically for building cloud-native data pipelines.
- Familiarity with GCP tools like Looker, Airflow DAGs, Data Studio, App Maker, etc.
- Hands-on experience implementing enterprise-wide cloud data lake and data warehouse solutions on GCP.
- Knowledge of data governance, security, and compliance best practices.
- Experience with private and public cloud architectures, pros/cons, and migration considerations.
- 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 nontechnical. Able to derive technical requirements with the stakeholders.
- Ability to work independently and in agile teams.
- GCP Data Engineer Certification is highly preferred.
- Professional certification, e.g., Open Certified Technical Specialist with Data Engineering Specialization.
- Experience working as a Data Engineer and/or in cloud modernization.
- Knowledge of Databricks, Snowflake, for data analytics.
- Experience in NoSQL databases
- Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes).
- Familiarity with BI dashboards and Google Data Studio is a plus.
Being You
Diversity is a whole lot more than what we look like or where we come from, it's how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we're not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That's the Kyndryl Way.
What You Can Expect
With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.
Get Referred
If you know someone that works at Kyndryl, when asked 'How Did You Hear About Us' during the application process, select 'Employee Referral' and enter your contact's Kyndryl email address.
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