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Urgent! DNEG - Data Engineer - ETL/Python Job Opening In Bengaluru – Now Hiring DNEG

DNEG Data Engineer ETL/Python



Job description

<p><p><b>Job Description :</b><br/><br/>As a Data Engineer, youll architect and maintain the pipelines that power our products and services.<br/><br/>Youll work at the intersection of ML, media processing, and infrastructure; owning the data tooling and automation layer that enables scalable, high-quality training and inference.<br/><br/>If youre a developer who loves solving tough problems and building efficient systems, we want you on our team.</p><p><b><br/></b></p><p><p><b>Key Responsibilities :</b></p><br/>- Design and maintain scalable pipelines for ingesting, processing, and validating datasets with main focus visual and voice data.<br/><br/>- Work with other teams to identify workflow optimisation potential, design and develop automation tools, using AI-driven tools and custom model integrations and scripts.<br/><br/>- Write and maintain tests for pipeline reliability.<br/><br/>- Build and maintain observability tooling in collaboration with other engineers to track data pipeline health and system performance.<br/><br/>- Collaborate with data scientists, operators, and product teams to deliver data solutions.<br/><br/>- Debug and resolve complex data issues to ensure system performance.<br/><br/>- Optimise storage, retrieval, and caching strategies for large media assets across environments.<br/><br/>- Deploy scalable data infrastructure using cloud platforms as well as on-premise and containerization.<br/><br/>- Deepen your knowledge of machine learning workflows to support AI projects.<br/><br/>- Stay current with industry trends and integrate modern tools into our Haves :</b></p><br/>- 3+ years in data engineering or related backend/infrastructure role.<br/><br/>- Strong programming skills in Python or similar languages.<br/><br/>- Experience with software development lifecycle (SDLC) and CI/CD pipelines.<br/><br/>- Proven experience building and testing data pipelines in production.<br/><br/>- Proficiency in Linux.<br/><br/>- Solid SQL knowledge.<br/><br/>- Experience with Docker or other containerisation technologies.<br/><br/>- Proactive approach to solving complex technical challenges.<br/><br/>- Passion for system optimisation and continuous learning.<br/><br/>- Ability to adapt solutions for multimedia data To Have :</b></p><br/>- Experience with Kubernetes (k8s).<br/><br/>- Knowledge of machine learning or AI concepts.<br/><br/>- Familiarity with ETL tools or big data frameworks.<br/><br/>- Familiarity with cloud platforms (e.g., AWS, GCP, Azure).<br/></p><br/></p> (ref:hirist.tech)


Required Skill Profession

Computer Occupations



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    Unlock Your DNEG Data Potential: Insight & Career Growth Guide


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