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    Data Engineer - Bengaluru, India - Tech Mahindra

    Tech Mahindra
    Tech Mahindra Bengaluru, India

    Found in: Appcast Linkedin IN C2 - 4 days ago

    tech mahindra background
    Description
    • Experience level- 4+ years
    • Location- Bangalore
    • Shift- 12 PM to 9 PM/ 1 PM to 10 PM

    Job Functions / Responsibilities

    • Build and document automated data pipelines from a wide range of data sources with an emphasis on automation and scale
    • Develop highly available applications and APIs to support near-real-time integrations using an AWS-based technology stack
    • Ensure product and technical features are delivered to spec and on-time in a DevOps fashion
    • Contribute to overall architecture, framework, and design patterns to store and process high data volumes
    • Develop solutions to measure, improve, and monitor data quality based on business requirements
    • Design and implement reporting and analytics feature in collaboration with product owners, reporting analysts / data analysts, and business partners within an Agile / Scrum methodology
    • Proactively support product health by building solutions that are automated, scalable, and sustainable – be relentlessly focused on minimizing defects and technical debt
    • Provide post-implementation production support for data pipelines

    Qualifications

    • Bachelors' degree in Computer Science, Informatics, or a related field required
    • Masters' degree in Computer Science preferred
    • 3+ years of experience in a data engineering role
    • 2+ years of experience with AWS and related services (e.g., EC2, S3, SNS, Lambda, IAM, Snowflake)
    • Hands-on experience with ETL tools and techniques (Desirable)
    • Basic proficiency with a dialect of ANSI SQL, APIs, and Python
    • Knowledge of and experience with RDBMS platforms, such as MS SQL Server, MySQL, NoSQL, Postgres
    • Experience with participating in time sensitive projects in a highly collaborative, multi-disciplinary team environment
    • Experience with Kafka is beneficial but not required
    • Experience with streaming data preferred

    Education

    Bachelor's degree in Computer Science, Informatics, Business Administration or related field required

    Master's Degree in Computer Science, Business Administration or related field preferred


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