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  • Senior Data Engineer
    New
    Data

    Senior Data Engineer

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      DBT

      advanced

      Snowflake

      advanced

      Python

      advanced

      Cloud Platforms

      regular

    Job description

    Online interview

    Are you a skilled data engineer ready to tackle complex challenges and build cutting-edge data solutions?

    Join our team as a Senior Data Engineer, where you will leverage your expertise in Snowflake, data pipelines, and analytics to enable data-driven decision-making across our organization.


    This position offers the opportunity to work on diverse projects involving advanced data platforms, robust analytics, and scalable engineering solutions.


    Key Responsibilities

    • Snowflake Expertise:
    • Design, develop, and optimize data solutions using Snowflake.
    • Leverage advanced SQL features and Snowflake scripting to ensure high performance and scalability.
    • Collaborate with teams to integrate Snowflake with other tools and platforms.
    • Data Pipeline Development:
    • Create, maintain, and optimize data pipelines using SQL, dbt, and other tools.
    • Build scalable ETL/ELT workflows and automate data processes.
    • Assemble and transform large, complex datasets to meet business needs.
    • Analytics and Insights:
    • Model data transformations to deliver actionable insights and support business intelligence.
    • Implement data validation frameworks to ensure data quality and reliability.
    • Develop analytics tools to optimize operational efficiency and performance metrics.
    • Collaboration and Stakeholder Engagement:
    • Work with cross-functional teams to define requirements and deliver data solutions.
    • Provide technical support for data infrastructure and analytics tools.


    Preferred Skills and Qualifications

    • Technical Skills:
    • Advanced knowledge of Snowflake and SQL.
    • Proficiency in dbt and data modeling concepts.
    • Strong Python skills, including scripting for automation and analytics.
    • Familiarity with cloud platforms such as AWS (Redshift, Lambda, S3) or similar (GCP, Azure).
    • Experience with DevOps/DataOps tools (Git, Docker, Terraform, CI/CD pipelines).
    • Best Practices and Methodologies:
    • Strong understanding of data warehousing and distributed data systems.
    • Knowledge of data serialization formats (e.g., JSON, XML, YAML).
    • Experience with data governance, data quality, and workflow management.
    • Soft Skills:
    • Analytical and problem-solving mindset.
    • Excellent communication and collaboration skills.
    • A proactive and ownership-oriented approach to work.


    What We Offer

    • Opportunity to work on high-impact, large-scale data projects.
    • Collaboration with talented professionals in an innovative and dynamic environment.
    • Continuous learning and professional development opportunities.
    • Competitive salary and comprehensive benefits package.
    Undisclosed Salary

    B2B

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