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Data Engineer

DE&A - Core - Cloud Data Engineering - Snowflake Developer

On-siteMidData EngineerJust posted
Role summaryAI-generated

This role focuses on designing and optimizing Snowflake-based data architectures to support scalable analytics pipelines, requiring expertise in cloud-native data engineering and strong SQL proficiency. The candidate will collaborate with cross-functional teams to build high-performance data models and ensure seamless data integration for business intelligence and AI/ML initiatives.

Skills required

About this role

We are seeking a skilled Snowflake Developer to design, develop, optimize, and maintain enterprise data warehouse solutions on the Snowflake platform. The ideal candidate should have strong expertise in data warehousing, ETL/ELT development, SQL optimization, cloud technologies, and data integration.

Responsibilities

  • Design, develop, and maintain data pipelines using Snowflake.
  • Build and optimize Snowflake databases, schemas, tables, views, and stored procedures.
  • Develop ELT/ETL workflows using tools such as Informatica, Matillion, Talend, ADF, Airflow, or dbt.
  • Implement data modeling techniques including Star Schema and Snowflake Schema.
  • Develop and optimize complex SQL queries for data transformation and reporting.
  • Integrate data from various sources including relational databases, APIs, cloud storage, and third-party applications.
  • Monitor and troubleshoot Snowflake performance issues.
  • Implement data security, governance, and access controls using Snowflake RBAC.
  • Collaborate with Data Engineers, Business Analysts, Architects, and Stakeholders to understand business requirements.
  • Ensure data quality, integrity, and compliance with organizational standards.
  • Support CI/CD implementation and DevOps practices for data engineering projects.

Qualifications

  • Strong experience with Snowflake Data Cloud.
  • Advanced SQL programming and query optimization.
  • Experience with ETL/ELT development.
  • Knowledge of Data Warehousing concepts and dimensional modeling.
  • Experience with cloud platforms:
    • AWS
    • Azure
    • Google Cloud Platform (GCP)
  • Hands-on experience with:
    • Snowpipe
    • Streams & Tasks
    • Dynamic Tables
    • Materialized Views
    • Cloning & Time Travel
    • Stored Procedures
    • User Defined Functions (UDFs)
  • Experience with Python, Shell Scripting, or Java.
  • Familiarity with dbt, Airflow, Azure Data Factory, Informatica, or Matillion.

Preferred Skills

  • Performance tuning and cost optimization in Snowflake.
  • Data Lake integration.
  • BI tools knowledge (Power BI, Tableau, Looker).
  • Git, CI/CD, and Agile methodologies.

Qualifications

  • Bachelor's or master's degree in computer science, Information Technology, Engineering, or related field.
  • 3+ years of experience in Data Engineering/Data Warehousing.
  • 2+ years of hands-on Snowflake development experience.
  • Snowflake Certification is a plus:
    • SnowPro Core Certification
    • SnowPro Advanced Certifications

Experience Level

  • 6+ years of IT experience
  • 4+ years of Snowflake and Data Engineering experience

Nice to Have

  • Experience with migration from on-premise data warehouses to Snowflake.
  • Exposure to Data Mesh/Data Fabric architecture.
  • Knowledge of Data Governance and Master Data Management (MDM).
  • Experience working in Banking, Retail, Healthcare, Manufacturing, or Telecom domains.

Key Competencies

  • Analytical and problem-solving skills
  • Communication and stakeholder management
  • Performance optimization mindset
  • Attention to detail
  • Team collaboration and ownership

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