Posted On 23 August

  • Big Data Engineer

    • Company Cognizant USA
    • No. of Openings 10+
    • Salary Not Disclosed
    • Work Type on-site

    Job Description :

    Job Duties And Responsibilities

    • Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark SQL, and AWS services such as S3, Glue, Lambda, SNS, SQS, and KMS
    • Implement and support reporting and analytics infrastructure for internal business customers
    • Develop and maintain data security and permissions solutions for enterprise-scale data warehouse and data lake implementations including data encryption, database user access controls, and logging
    • Develop data objects for business analytics using data modeling techniques
    • Develop and optimize data warehouse and data lake tables using best practices for DDL, physical and logical tables data, partitioning compression, and parallelization
    • Develop and maintain data warehouse and data lake metadata data catalog and user documentation for internal business customers
    • Work with internal business customers and software development teams to capture and document requirements

    Qualifications

    • Experience building enterprise-scale data warehouse and data lake solutions end-to-end
    • Experience transitioning on-premise big data platforms into cloud-based platforms.
    • Knowledgeable about a variety of strategies for ingesting modeling processing and persisting big data.
    • Experience with native AWS technologies for data and analytics such as Redshift Spectrum Athena S3 Lambda Glue EMR Kinesis SNS CloudWatch etc.
    • Write secure stable testable maintainable code with minimal defects.
    • 4+ years of experience with one or more query languages (e.g. SQL), schema definition languages (e.g. DDL), and scripting languages (e.g. Python) to build data solutions.
    • Prior experience with Infrastructure as Code technology such as Terraform or Cloudformation
    • Experience architecting/building real-time data ingestion/delivery streams
    • Experience with NoSQL databases like DynamoDB/Mongo DB
    • Experience with Hadoop platform and related tools

    Information

    • HR Name :HR
    • HR Email :inquiry@cognizant.com
    • HR Phone :+36 1 814 1000
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