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Lead Data Engineer @ Conduent

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 Lead Data Engineer

Job Description

 Job Overview We are looking for a Data Engineer who will be part of our Analytics Practice and will be expected to actively work in a multi-disciplinary fast paced environment. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project; its primary responsibility is the acquisition, transformation, loading and processing of data from a multitude of disparate data sources, including structured and unstructured data for advanced analytics and machine learning in a big data environment.
 Responsibilities: 
  • Engineer a modern data pipeline to collect, organize, and process data from disparate sources.
  • Performs data management tasks, such as conduct data profiling, assess data quality, and write SQL queries to extract and integrate data
  • Develop efficient data collection systems and sound strategies for getting quality data from different sources
  • Consume and analyze data from the data pool to support inference, prediction and recommendation of actionable insights to support business growth.
  • Design and develop ETL processes using tools and scripting. Troubleshoot and debug ETL processes. Performance tuning and opitimization of the ETL processes.
  • Provide support to new of existing applications while recommending best practices and leading projects to implement new functionality.
  • Collaborate in design reviews and code reviews to ensure standards are met. Recommend new standards for visualizations.
  • Learn and develop new ETL techniques as required to keep up with the contemporary technologies.
  • Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
  • Support presentations to Customers and Partners
  • Advising on new technology trends and possible adoption to maintain competitive advantage
     Experience Needed: 
  • 8+ years of related experience is required.
  • A BS or Masters degree in Computer Science or related technical discipline is required
  • ETL experience with data integration to support data marts, extracts and reporting
  • Experience connecting to varied data sources
  • Excellent SQL coding experience with performance optimization for data queries.
  • Understands different data models like normalized, de-normalied, stars, and snowflake models. Worked with transactional, temporarl, time series, and structured and unstructured data.
  • Experience on Azure Data Factory and Azure Synapse Analytics
  • Worked in big data environments, cloud data stores, different RDBMS and OLAP solutions.
  • Experience in cloud-based ETL development processes.
  • Experience in deployment and maintenance of ETL Jobs.
  • Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery.
  • Has strong technical background and remains evergreen with technology and industry developments.
    At least 3 years of demonstrated success in software engineering, release engineering, and/or configuration management.
    Highly skilled in scripting languages like PowerShell.
    Substantial experience in the implementation and exectuion fo CI/CD processes.
     Additional  
  • Demonstrated ability to have successfully completed multiple, complex technical projects
  • Prior experience with application delivery using an Onshore/Offshore model
  • Experience with business processes across multiple Master data domains in a services based company
  • Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality.
  • Demonstrates high standards of professional behavior in dealings with clients, colleagues and staff.
  • Is able to make sound and far reaching decisions alone on major issues and to take full responsibility for them on a technical basis.
  • Strong written communication skills. Is effective and persuasive in both written and oral communication.
  • Experience with gathering end user requirements and writing technical documentation
  • Time management and multitasking skills to effectively meet deadlines under time-to-market pressure

    • Job Classification

    Industry: BPM / BPO
    Functional Area / Department: Engineering - Software & QA
    Role Category: Software Development
    Role: Data Engineer
    Employement Type: Full time

    Contact Details:

    Company: Conduent
    Location(s): Noida, Gurugram

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    Keyskills:   sql coding sql configuration management software engineering release engineering continuous integration rdbms sql queries performance tuning azure synapse ci/cd azure data factory machine learning data engineering powershell olap etl big data

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