Snowflake Developer

• Design, develop, and maintain data pipelines and data models in the Snowflake Cloud Data Platform.
• Implement and manage Snowflake environments, including roles, warehouses, dynamic tables, streams, tasks, and security policies.
• Write and optimize complex SQL queries for data analysis, transformation, and reporting.
• Design and maintain dimensional, ER, and Data Vault data models for analytical and operational purposes.
• Collaborate with business stakeholders and product owners to gather requirements, define technical solutions, and ensure timely delivery.
• Work closely with data scientists and analysts to support machine learning and data science initiatives.
• Implement data management and data governance practices, ensuring data quality, lineage, and compliance.
• Use GitLab for version control, code review, and CI/CD pipeline management.
• Develop automation scripts and workflows using Python for data ingestion, transformation, and quality checks.
• Participate in Agile development cycles, contribute to sprint planning, and proactively resolve technical issues.
• Actively collaborate with team members, maintain a positive and proactive attitude, and continuously learn new technologies and concepts.

Do you have experience in Software deployment?, Do you have a Master's degree?, Key Skills, Qualifications and Experience Needed [The candidate must demonstrate these in all stages of assessment]

• Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or related field.
• 3-7 years of professional experience in data engineering or Snowflake development.
• SnowPro Core or Advanced Certification (Data Engineer / Architect) is a plus.
• Strong knowledge of Cloud Computing concepts and experience with cloud data platforms.
• Very good working knowledge of data modeling techniques - including Dimensional, Entity-Relationship (ER), and Data Vault models.
• Advanced SQL development skills with experience in performance tuning and query optimization.
• Hands-on experience with Snowflake architecture, including virtual warehouses, databases, schemas, and query optimization.
• In-depth understanding of Snowflake internals such as roles, dynamic tables, streams, tasks, masking and row access policies, and resource monitoring.
• Experience working on data-centric projects or data applications across large datasets.
• Proficiency in GitLab for code versioning, collaboration, and continuous integration.
• Good working knowledge of Python for scripting and automation tasks.
• Familiarity with data science and machine learning workflows, tools, and basic model deployment practices.
• Understanding of data management and data governance principles - including data quality, lineage, and metadata management.
• Proven experience in working with product owners and stakeholders, translating business needs into technical deliverables.
• Excellent team collaboration, communication, and interpersonal skills.
• Self-initiator, proactive learner, and adaptable to new technologies and evolving data ecosystems.
• Working knowledge of SQL Server and/or Oracle databases.
• Exposure to investment banking or financial services domain.
• Understanding of statistical concepts and their application in data analysis.
• Experience with Power BI or other BI/visualization tools.
• Ability to manage multiple projects simultaneously in a fast-paced environment.

Other Key skills:

• Good analytical and Problem-solving skills
• Good communication skills
• A thorough approach and Self starter
• Focus on quality and delivery
• Working together in teams.
• Leadership and effective decision making.
• Flexible Attitude
• Excellent customer service