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Bengaluru

    Data Engineer - Bengaluru, India - TekWissen India

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    Technology / Internet
    Description

    Role: Data Engineer

    Location: Bangalore, India

    Total experience: 7+ Years

    Relevant experience: 5-7 Years

    Expected Notice period: Immediate

    POSITION SUMMARY

    Data Engineers build and maintain data systems in support of data analytics and data science activities. The Data Engineer will implement methods to improve data reliability, data quality, and ensure success in data-driven initiatives. This position within IT Data & Analytics is responsible for identifying, developing, and executing solutions that support reliable and efficient extraction of data from source systems and loading of that data into analytic platforms. The Data Engineer will help administer data platforms and consult with data analysts and data scientists on process optimization and data quality improvements. At Client Aviation, we are building a community of Data & Analytics professionals with an emphasis on collaboration and cross-functional support. You will have the opportunity to work closely with your peers throughout the organization toward a vision of data driven strategy.

    PRINCIPAL RESPONSIBILITIES:

    Gain core business understanding of Aviation and aircraft design, operation, and support

    Query, clean, transform, and stage data (ETL/ELT) across on-prem and cloud environments

    Support data analytics and data science activities by implementing, maintaining, and optimizing production ready data pipelines

    Install and update software to ensure data platform continuity

    Administer a CI/CD compliant code repository during development and update activities

    Research and lead implementation of new technologies to support analytics function

    Interface with other data professionals throughout the organization to embrace cross functional growth in analytics capabilities

    Work to improve data quality by leading data governance efforts in creating and maintaining data quality standards

    Plan and execute projects according to established milestones and schedules

    Conduct project/program briefings to management and end users

    Develop and lead training for users in data & analytic tools and processes per best practices and compliance standards

    Contribute to the resolution of service tickets pertaining to data infrastructure

    Serve as an internal consultant to business leaders by advising on system capabilities

    Provide technical leadership and mentoring to other Data & Analytics professionals

    TECHNICAL COMPETENCIES:

    Strong programming skills in SQL (other OOP languages also preferred)

    Familiarity with Python, Java, or other OOP languages

    Ability to create and schedule data pipelines (i.e. Apache Airflow, Azure Data Factory, etc)

    Experience with on-premise data warehouses and/or data lakes (i.e. Oracle, SQL Server, SAP HANA etc)

    Experience with cloud data lake/warehouse tech (i.e. Azure, Databricks, AWS, Snowflake etc)

    Familiarity with big data parallel processing frameworks such as Apache Hadoop, Spark, Dask, is preferred

    Linux and Windows OS experience including the command line

    Experience with server and software administration

    Comfortable with CI/CD processes in Github, Azure DevOps etc.

    Familiar with software development lifecycle, including waterfall, agile, and DevOps methodologies

    ADDITIONAL COMPETENCIES:

    Microsoft Azure certification is a plus

    Exceptional communication (verbal, written) skills

    Action oriented and seizes opportunities

    Strong analytical and problem-solving skills

    Quickly grasps new concepts when faced with unfamiliar tasks

    Professional and diplomatic demeanor

    Team player

    Should be self-motivated and able to work independently and as part of the team

    Ability to work in a fast-paced environment and handle multiple tasks simultaneously

    Cross cultural work experience

    Good Problem solving skills

    Effective time and priority management

    Education:

    • Bachelor's Degree required in MIS, Computer Science, or related technical field/coursework + up to 6 years relevant technical experience required, focused on data collection, utilization, and analytics

    (OR)

    • Master's degree required in MIS, Computer Science, or related technical field/coursework + 3 years relevant technical experience required, focused on data collection, utilization, and analytics.

    *Domain experience in Aviation industry is plus.

    *Microsoft certifications are plus.


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