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Snowflake Data Engineer

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NTT DATA

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Location:
Romania , Cluj

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Snowflake Data Engineer role requires a minimum of 5 years of experience in data engineering, with a strong focus on Snowflake and cloud-native platforms. The successful candidate will collaborate with clients to design and maintain secure, high-performing data pipelines that enable data-driven decision-making and advanced analytics. A BSc/MSc in Computer Science or a related field is required, along with Snowflake certifications. Responsibilities include developing data solutions, ensuring data accuracy, and promoting engineering best practices. This position offers opportunities for remote, hybrid, or office work.

Job Responsibility:

  • Client Engagement & Delivery: Collaborate with clients to understand data requirements, contribute to solution delivery, and ensure successful project outcomes
  • Data Pipeline Development: Design, build, and optimise robust, scalable data pipelines to support analytics, reporting, and operational workloads
  • Snowflake & Cloud Data Platforms: Develop and maintain data solutions on Snowflake and modern cloud ecosystems, ensuring performance, security, and reliability
  • Data Architecture & Modelling: Implement high‑quality data models and contribute to architectural decisions that support enterprise‑grade data platforms
  • Collaboration & Best Practices: Work closely with cross‑functional teams to promote engineering best practices, code quality, and continuous improvement
  • Quality & Governance: Ensure data accuracy, consistency, and compliance through strong testing, documentation, and governance practices
  • Partner with architects to translate solution designs into high‑quality engineering deliverables
  • Collaborate with technical teams to support development, troubleshooting, and end‑to‑end data delivery
  • Client Stakeholders: Engage with client technical leaders
  • Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements
  • High client satisfaction and successful adoption of Snowflake-based solutions
  • Demonstrated ability to innovate and improve data engineering practices
  • Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership

Requirements:

  • BSc/MSc in Computer Science, Data Engineering, or related field
  • Snowflake certifications (SnowPro Core, Advanced) highly desirable
  • Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake
  • Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms
  • Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning)
  • Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
  • Strong SQL and Python (or equivalent language) skills for data manipulation and automation
  • Hands-on experience with cloud platforms (AWS, Azure, GCP)
  • Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)
  • Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop)
  • Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelines
  • Understanding of data governance, security, and compliance frameworks
  • Strong consulting values with ability to collaborate effectively in client-facing environments
  • Expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption
  • Strong problem-solving, analytical, and communication skills
  • Experience leading or mentoring teams of engineers in delivering high-quality data solutions
What we offer:
  • Smooth integration and a supportive mentor
  • Pick your working style: choose from Remote, Hybrid or Office work opportunities
  • Our projects have different working hours to suit your needs
  • Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms
  • Private Health Insurance
  • Individual coaching sessions
  • Accredited Coaching School
  • Epic parties or themed events

Additional Information:

Job Posted:
May 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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