Apollo Hospital | Jobs | Information Technology Analyst | BigDataKB.com | 07-02-22

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    Job Location: Chennai

    Experience in data preparation, data gateway and data warehousing projects

    • Prior Experience with Big Data pipeline, Big Data analytics, Data warehousing
    • Familiarity with JavaScript, CSS, and other JavaScript libraries
    • Hands-on experience with data lake implementations, core modernization, and data

    ingestion

    • High proficiency in database skills such as SQL for data preparation and cleaning with the

    ability to write advanced queries and create stored procedures

    • Experience with NoSQL databases such as Cassandra / MongoDB
    • Experience in designing systems that process structured as well as unstructured data at large

    scale

    • Experience with SQL/No-SQL, schema design and dimensional data modelling will be a bonus

    Nice to have

    • Experience in Azure/Hadoop/Hive/Spark/Scala/Python development, and exposure to

    streaming data sources such as Kafka

    • Understanding of machine learning landscape and concepts will be a bonus
    • Experience in developing efficient software code/frameworks for multiple use cases

    leveraging Python and big data technology stack such as Hadoop/Spark/HDFS environments

    • Experience with DevOps tools (GitHub, Travis CI, and JIRA) and development methodologies

    such as Agile/Lean/Scrum Development

    Key Result Areas:

    • Data extraction, warehousing and building data repositories in on premise servers and/or

    cloud environment

    • Data management, programming, containerization, data lake implementations, core

    modernization, and data ingestion

    • Develop and maintain scalable data pipelines and build out new integrations and processes

    required for optimal extraction, transformation, and loading of data from a wide variety of

    data sources using ‘Big Data’ technologies

    • Develop programs in Scala and Python as part of data cleaning and processing and design

    systems that process structured as well as unstructured data at large scale

    • Assemble large, complex data sets for business and IT requirements and foster data-driven

    decision making

    • Implement processes and systems to validate, monitor and ensure data accuracy for key

    stakeholders and business processes

    • Perform root cause analysis on internal and external data and processes to answer specific

    business questions and identify opportunities for improvement

    • Work closely with the Cloud and Data Science teams to build and deploy AI/ML and deep

    learning models on big data analytics platforms

    Professional skills

    • Proficient in and keen to work in a team-oriented environment

    • Excellent communication (written and oral) and interpersonal skills for managing technical

    and non-technical teams

    • Passionate about learning new technology and a quick learner

    • Ability to use technology to solve business problems and work in fast-paced environmentsnd Responsibilities

    Apply Here

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