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    Sr Data Integration Engineer - San Jose, United States - Adobe

    Adobe
    Adobe San Jose, United States

    3 weeks ago

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    Description
    Our Company

    Changing the world through digital experiences is what Adobe's all about.

    We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences We're passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.


    We're on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.

    We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours
    The Opportunity
    As a Senior Data Integration Engineer, you will play a pivotal role in our data infrastructure team.

    Do you enjoy designing, implementing, and maintaining robust data integration solutions? Your primary focus will be on building streaming and batch-based integration capabilities to ensure seamless flow of data across our organization's systems.

    You will collaborate closely with cross-functional teams including data scientists, analysts, and software engineers to support various data-driven initiatives and enhance our overall data ecosystem.


    What You'll Do:

    Design and Development:
    Lead the design and development efforts for streaming and batch-based data integration solutions, ensuring scalability, reliability, and efficiency.

    Integration Architecture:

    Define and implement integration architectures that align with business objectives and best practices, considering factors such as data volumes, latency requirements, and security.


    Data Pipeline Development:

    Build robust data pipelines to extract, transform, and load (ETL) data from diverse sources into centralized repositories, warehouses, or data lakes.


    Streaming Technologies:
    Apply streaming technologies to build next generation streaming integrations.

    Data Quality and Governance:

    Implement data quality checks, validation processes, and governance frameworks to ensure the accuracy, consistency, and integrity of integrated data.


    Performance Optimization:

    Continuously optimize data integration processes for performance, scalability, and cost-effectiveness, demonstrating techniques such as parallel processing, caching, and partitioning.


    Monitoring and Troubleshooting:

    Establish monitoring and alerting mechanisms to proactively identify and address issues in data integration pipelines, ensuring high availability and reliability.


    Collaboration and Documentation:
    Collaborate with cross-functional teams to understand data requirements and provide technical expertise in data integration solutions. Document design decisions, configurations, and best practices for knowledge sharing and future reference.

    Research and Innovation:

    Stay abreast of emerging technologies, trends, and best practices in data integration and streaming processing, and evaluate their applicability to enhance our data infrastructure.


    What you need to succeed:
    Bachelor's in Computer Science, Engineering, or a related field.
    Proven experience (5-7 years) in designing, implementing, and optimizing data integration solutions, preferably in a senior or lead role.
    Strong proficiency in programming languages such as Python, Java, or Scala.
    Hands-on experience with streaming and batch processing frameworks such as Apache Kafka, Apache Flink, Apache Spark, or similar technologies.
    In-depth understanding of data modeling, ETL processes, and data warehousing concepts.
    Proficiency in SQL and familiarity with relational and NoSQL databases.
    Excellent problem-solving skills and attention to detail.
    Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
    Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
    Relevant certifications (e.g., AWS Certified Big Data - Specialty, Google Professional Data Engineer) would be advantageous.
    Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $124,000 $234,200 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process.

    At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.

    Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

    In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.
    Adobe is proud to be an Equal Employment Opportunity and affirmative action employer.

    We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law.

    Learn more.

    Adobe aims to make accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email

    or call

    Adobe values a free and open marketplace for all employees and has policies in place to ensure that we do not enter into illegal agreements with other companies to not recruit or hire each other's employees.

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