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    Data Science/Engineering - Bengaluru, India - TalentOla

    TalentOla
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    Description

    A minimum of 4-7 years of relevant experience in data science, with a strong portfolio showcasing your expertise in machine learning, deep learning, GANs, synthetic data algorithms.

    Advanced proficiency in AWS cloud services (e. g., S3 EC2 Lambda, SageMaker, EKS) and a solid understanding of cloud architecture.

    Expert-level knowledge in Python and its data science libraries (TensorFlow, PyTorch, Scikit-learn, Pandas).Experience in building and optimizing data pipelines, architectures, and data sets, particularly in a real-time, SaaS environment.

    Design, develop, and deploy data pipelines and ETL processesImplement data integration solutions, ensuring data flows efficiently and reliably between various data sources and destinations.

    Collaborate with data architects and analysts to understand data requirements and translate them into technical specifications.

    Build and maintain scalable and optimized data storage solutionsDevelop and manage data transformation and cleansing processes to ensure data quality and accuracy.

    Monitor and troubleshoot data pipelines to identify and resolve issues in a timely manner.
    Optimize data pipelines for performance, cost, and scalabilityExceptional analytical, problem-solving, and project management skills.
    Good communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
    A self-starter attitude with the ability to work in a fast-paced and startup environment.


    Critical Skills to Possess:
    Proven experience as a Data Engineer, with a strong focus on cloud technologies.
    Solid understanding of data modeling, database design principles, and data warehousing concepts.

    Experience with data integration, ETL processes, and data transformation using tools like Azure Data Factory, Azure Logic Apps, or similar technologies.

    Strong programming skills in languages such as SQL, Python, or Spark.
    Familiarity with version control systems (e.g., Git) and CI/CD pipelines for code deployment.

    Knowledge of data security and compliance practicesCompany IntroductionInfoVision, founded in 1995, is a leading global IT services and solutions company offering enterprise digital transformation and modernization solutions across business verticals.

    We partner with our clients in driving innovation, rethinking workflows, and transforming experiences so businesses can stay ahead in a rapidly changing world.

    We help shape a bold new area or era of technology-led disruption accelerating digital with quality, agility and integrity.


    We have helped more than 35 global leaders across Telecom, Retail, Banking, Healthcare and Technology Industries deliver excellence for their customers.

    InfoVision's global presence enables us to offer offshore, near shore and onshore solutions for our customers.

    With our world-class infrastructure for employees and people-centric policies, InfoVision is certified as a Great Place to Work for the year 2022 and one of the highest-rated digital services companies in Glassdoor ratings.

    We encourage our employees to thrive, and they are committed to providing a work environment that fosters an entrepreneurial mindset, nurtures inclusivity, values integrity, and creates opportunities for promising career growth.



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