drjobs Senior Data Engineer with Snowflake

Senior Data Engineer with Snowflake

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1 Vacancy
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Job Location drjobs

Warsaw - Poland

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Join an exciting journey to create a greenfield cuttingedge Consumer Data Lake for a leading global organization based in Europe. This platform will unify process and leverage consumer data from various systems unlocking advanced analytics insights and personalization opportunities. As a Senior Data Engineer you will play a pivotal role in shaping and implementing the platforms architecture focusing on handson technical and collaboration with crossfunctional teams.

Your work will transform consumer data into actionable insights and personalization on a global scale. Using advanced tools to tackle complex challenges youll innovate within a collaborative environment alongside skilled architects engineers and leaders.

Key Responsibilities:

  • HandsOn Development: Build maintain and optimize data pipelines for ingestion transformation and activation.
  • Create and implement scalable solutions to handle diverse data sources and high volumes of information
  • Data Modeling & Warehousing: Design and maintain efficient data models and schemas for a cloudbased data platform.
  • Develop pipelines to ensure data accuracy integrity and accessibility for downstream analytics.
  • Collaboration: Partner with Solution Architects to translate highlevel designs into detailed implementation plans.
  • Work closely with Technical Product Owners to align data solutions with business needs.
  • Collaborate with global teams to integrate data from diverse platforms ensuring scalability security and accuracy.
  • Platform Development: Enable data readiness for advanced analytics reporting and segmentation.
  • Implement robust frameworks to monitor data quality accuracy and performance.
  • Testing & Quality Assurance: Implement robust security measures to protect sensitive consumer data at every stage of the pipeline
  • Ensure compliance with data privacy regulations (e.g. GDPR CCPA .. and internal policies.
  • Monitor and address potential vulnerabilities ensuring the platform adheres to security best practices.

Requirements:

  • Over 4 years of experience showcasing technical expertise and critical thinking in data engineering.
  • Handson experience with DBT and strong Python programming skills.
  • Proficiency in Snowflake and expertise in data modeling are essential.
  • Demonstrated experience in building consumer data lakes and developing consumer analytics capabilities is required.
  • Indepth understanding of privacy and security engineering within Snowflake including concepts like RBAC dynamic/tagbased data masking rowlevel security/access policies and secure views.
  • Ability to design implement and promote advanced solution patterns and standards for solving complex challenges.
  • Familiarity with multiple cloud platforms Azure or GCP preferred with a focus on Azure).
  • Practical experience with Big Data batch and streaming tools.
  • Competence in SQL NoSQL relational database design (SAP HANA experience is a bonus) and efficient methods for data retrieval and preparation at scale.
  • Proven ability to collect and process raw data at scale including scripting web sing API integration and SQL querying.
  • Experience working in global environments and collaborating with virtual teams.
  • A Bachelors or Masters degree in Data Science Computer Science Economics or a related discipline.

We offer:

  • Flexible working format remote officebased or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program tech talks and trainings centers of excellence and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other locationspecific benefits

Required Experience:

Senior IC

Employment Type

Full Time

Company Industry

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