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    Data Engineer - Bengaluru, India - Talent500 Tech

    Talent500 Tech
    Talent500 Tech Bengaluru, India

    6 days ago

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    Description

    We are Talent500:

    We help companies hire, build and manage global teams. We are trusted by the worlds leading companies - from Fortune 500s and larger enterprises (Walmart, Target, Nike, Pepsi etc) to industry leaders (Airbnb, Twitter, Uber) and some of the worlds fastest-growing start-ups from the portfolios of investors such as Accel, Sequoia and Techstars.

    Our suite of proprietary AI-enabled tools and products provide businesses with an end-to-end platform to build their global teams. This includes:

    Access to a Global Talent Network of 300,000+ professionals globally

    Data-sciences based screening engine which predicts the right-fit candidate with ~80% accuracy helping companies hire 2.5x faster

    Tools to manage contracting, payroll and benefits without the hassle of setting up legal entities or infrastructure

    We are backed by Accel Partners & ANSR, a global leader and enterprise transformation platform. For the last 15 years, the worlds leading organizations have trusted ANSR to transform their businesses by building technology and innovation hubs in talent-rich locations. ANSR is today one of the largest drivers of FDI into India with over $1.5B of capital investments.

    Responsibilities for Data Engineer:

    • Create and maintain optimal data pipeline architecture,
    • Assemble large, complex data sets that meet functional / non-functional business requirements.
    • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing 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 data-related 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 cross-functional 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 stream-processing systems: Storm, Spark-Streaming, etc.
      • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

    Why work at Talent500?

    • Build the future of work: We're working on a problem every business leader understands deeply. The pandemic has created a once-in-a-lifetime shift in how businesses and professionals think about work. We have an opportunity to drive this new shift towards distributed work and global teams
    • Growth and scale: We are tackling a global problem and a rapidly growing market ($50B+) with a LOT of headroom for us to grow. We are currently growing at 35% quarter-on-quarter and expect this to be a BIG, fast-growth business. If you are looking for growth in your professional life and lots of learning along the way, this is it.
    • Experienced team and investors: We have an experienced team: our founders have founded, scaled, and sold companies before. We are trusted by some of the worlds best companies and investors
    • Remote-first: We offer work-from-anywhere for multiple roles @ Talent500. We back this with plenty of remote-friendly policies for our team - including generous home-office setup budgets, flexible work / check-in hours, mobile and internet reimbursements, L&D budgets, best-in-class medical for you + family, mental health coaching and counseling support and more
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