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    Data Engineer - Delhi, India - Qode

    Qode
    Qode Delhi, India

    2 weeks ago

    Default job background
    Description
    WORK ON AU Timezone (Remote)

    Responsibilities :
    Design, develop, and maintain ELT pipelines using Python, Airflow, and SQL in an AWS environment.

    Create and manage a data lake and data warehouse solutions on AWS.Develop and maintain data-driven dashboards and reporting solutions in PowerBI.Connect PowerBI to SQL Server and PostgreSQL Aurora databases using a gateway.

    Perform data profiling and source system analysis to ensure data quality and integrity.
    Collaborate with business stakeholders to capture and understand data requirements.
    Implement industry best practices for data engineering and visualization.
    Participate in architectural decisions and contribute to the continuous improvement of data solutions.
    Follow agile practices and a Lean approach in project development.
    Optimize SQL queries for performance and ensure efficient database operations.
    Perform database tuning and optimization as needed.


    RequirementsExperience :

    • 8 years of experiencesExpertlevel proficiency in SQL (TSQL, MS SQL) with a strong focus on optimizing SQL queries for performance.
    Extensive experience with Python and Airflow for ELT processes.
    Proven experience in designing and developing data warehousing solutions on the AWS cloud platform.
    Strong expertise in PowerBI for data visualization and dashboard creation.
    Familiarity with connecting PowerBI to SQL Server and PostgreSQL Aurora databases.
    Experience with REST APIs and JSON.Agile development experience with a focus on continuous delivery and improvement.
    Excellent problem-solving skills and a proactive "can-do" attitude.
    Strong communication skills and the ability to work collaboratively in a team environment.
    Curiosity and eagerness to learn and adapt to new technologies and methodologies.
    Ability to perform database tuning and optimization to ensure efficient data operations.


    Must haves:
    Python, Airflow, SQL and powerBI in a commercial way

    Desired Skills:
    Exposure to AWS Cloud Data Services such as RedShift, Athena, Lambda, Glue, etc.
    Experience with other reporting tools like Tableau.
    Knowledge of data lake architectures and best practices.
    BenefitsFlexible work arrangements.
    Opportunity to grow with a fast-scaling company.
    Recognition and reward for your contributions.
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