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    Data Engineer - San Francisco, United States - Tekfortune Inc

    Tekfortune Inc
    Tekfortune Inc San Francisco, United States

    1 week ago

    Default job background
    Description

    Tekfortune is a fast-growing consulting firm specialized in permanent, contract & project-based staffing services for world's leading organizations in a broad range of industries. In this quickly changing economic landscape, virtual recruiting and remote work are critical for the future of work. To support the active project demands and skills gaps, our staffing experts can help you find the best job for you.

    Role: Data Engineer
    Location: Remote
    Duration: 6 months +
    Job Description:

    Seeking a results-driven, strategic and experienced Data Engineer to join our ITS - GTM Technology team. GTM Technology team with ITS organization is responsible for partnering with Sales, Marketing, CX and other customer facing functions to understand their business strategy and align integrated technical solutions to support those strategies. We aspire to ensure our representatives are effective in selling, marketers are effective in marketing and we enable excellent customer, partner and user experience.

    We are seeking a highly skilled and motivated Data Engineer with a specialized focus on marketing technologies to join our dynamic team. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our data infrastructure, ensuring seamless integration and utilization of marketing data. Your expertise in SQL and deep understanding of marketing technologies will empower our organization to make data-driven decisions and optimize marketing campaigns.

    Responsibilities:

    • Help define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data models
    • Collaborate with cross-functional teams, including Marketing, Data Science, and IT, to understand data requirements and design efficient data pipelines for marketing data integration.
    • Develop, maintain, and optimize ETL processes to extract, transform, and load data from various sources, including marketing platforms, CRM systems, web analytics, and third-party APIs.
    • Build and maintain robust data architectures that support data warehousing, reporting, and analytics for marketing initiatives.
    • Ensure data accuracy, consistency, and quality through rigorous data validation and cleansing procedures.
    • Troubleshoot and resolve data-related issues, including data transformation errors, pipeline failures, and data synchronization problems.
    • Stay current with the latest trends and advancements in marketing technologies, data engineering, and SQL to continuously improve data processes and capabilities.
    • Work closely with Data Scientists to provide them with access to clean, relevant, and accurate data for their analyses and modeling efforts.
    • Collaborate on the design and implementation of data governance and data security policies to protect sensitive marketing data.
    • Participate in code reviews, documentation, and knowledge sharing to maintain high standards of code quality and team collaboration.
    Qualifications:
    • Bachelor's degree in computer science, Information Technology, or related field. Master's degree preferred.
    • Proven experience (5+ years) as a Data Engineer, with a significant focus on marketing technologies and data integration.
    • Proficiency in SQL, Aqueduct, Airflow DAGs with a strong ability to write complex queries, optimize query performance, and work with large datasets.
    • Experience with Customer Data Platforms (CDP) like Segment, mParticle, Tealium AudienceStream or other industry leading CDP technology would be a plus
    • Hands-on experience with marketing platforms such as Google Analytics, Adobe Analytics, Marketo, HubSpot, Salesforce Marketing Cloud, etc would be a plus
    • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and their data services (S3, Redshift, BigQuery, etc.).
    • Strong programming skills in languages such as Python or Java for data processing and scripting tasks.
    • Excellent problem-solving skills, attention to detail, and the ability to troubleshoot complex data issues.
    • Solid understanding of data warehousing concepts, data modeling, and database design principles.
    • Knowledge of data governance, data security, and compliance practices within a marketing context.
    • Effective communication skills to collaborate with technical and non-technical stakeholders.
    • Experience with version control systems (e.g., Git) and Agile development methodologies.
    For more information and other jobs available please contact our recruitment team at To view all the jobs available in the USA and Asia please visit our website at
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