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    Data Engineer - Bangalore, India - Talent500

    Talent500
    Talent500 Bangalore, India

    4 days ago

    Talent500 background
    permanent Technology / Internet
    Description

    Responsibilities for Data Engineer:

    • Create and maintain optimal data pipeline architecture,.
    • Assemble large, complex data sets that meet functional / nonfunctional business requirements.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
    • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS 'big data' technologies.
    • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
    • Work with stakeholders including the Executive, Product, Data and Design teams to assist with datarelated technical issues and support their data infrastructure needs.
    • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
    • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
    • Work with data and analytics experts to strive for greater functionality in our data systems.

    Qualifications for Data Engineer:

    • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
    • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
    • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
    • Strong analytic skills related to working with unstructured datasets.
    • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
    • A successful history of manipulating, processing and extracting value from large disconnected datasets.
    • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
    • Strong project management and organizational skills.
    • Experience supporting and working with crossfunctional teams in a dynamic environment.


    We are looking for a candidate with 3-5 years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.

    They should also have experience using the following software/tools:

    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases.
    • Experience with data pipeline and workflow management tools.
    • Experience with AWS cloud services: EC2, EMR, RDS, Redshift.
    • Experience with streamprocessing systems: Storm, Spark-Streaming, etc.
    Experience with object-oriented / object function scripting languages: Python, Java, C++, Scala, etc.

    )
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