Lead, Software Engineer

5 - 10 years

5 - 10 Lacs

Posted:4 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

The candidate for this position will focus on Data Unification across different data assets, enabling a single unified view of data from multiple sources and support the development of new innovative data driven cyber products, services and actionable insights.

The Role

We are seeking a Lead, Software Engineer who will:

  • Perform data ingestion, aggregation, processing to drive and enable relevant insights from available data sets.
  • Partner with various teams (i.e., Product Manager, Data Science, Platform Strategy, Technology) on data needs/requirements in order to deliver data solutions that generate business value.
  • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques.
  • Identify innovative ideas and deliver proof of concepts, prototypes to deliver against the existing and future needs and propose new products, services and enhancements.
  • Integrate & Unify new data assets which increase the value proposition for our customers and enhance our existing solutions and services.
  • Analyse large volumes of transaction and product data to generate insights and actionable recommendations to drive business growth
  • Collect and synthesize feedback from clients, development, product and sales teams for new solutions or product enhancements.
  • Apply knowledge of metrics, measurements, and benchmarking to complex and demanding solutions.

All About You

  • Good understanding of streaming technologies like Kafka, Spark Streaming. Proficiency in one of the programming language preferably Java, Scala or Python.
  • Experience with Enterprise Business Intelligence Platform/Data platform.
  • Strong SQL and higher-level programming languages with solid knowledge of data mining, machine learning algorithms and tools
  • Experience with data integration tools ETL/ELT tools (i.e. Apache NiFi, Azure Data Factory, Pentaho, Talend)
  • Exposure to collecting and/or working with data including standardizing, summarizing, offering initial observations and highlighting inconsistencies.
  • Strong understanding of the application of analytical methods and data visualization to support business decisions.
  • Ability to understand complex operational systems and analytics/business intelligence tools for the delivery of information products and analytical offerings to a large, global user base.
  • Able to work in a fast-paced, deadline-driven environment as part of a team and as an individual contributor
  • Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group

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