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    ISC Analytics Specialist II - Bengaluru, India - Honeywell

    Honeywell
    Honeywell Bengaluru, India

    1 week ago

    Honeywell background
    OTHER
    Description

    Join a team recognized for leadership, innovation and diversity

    Sr
    ISC Analytics Specialist
    Description/Brief Summary of what role entails (Job
    Purpose)
    Sr ISC Analytics Specialist is
    responsible for the advanced data engineering and architecture. The Sr ISC Analytics Specialist works as individual contributor, facilitates data engineering, design implementation as well as developing functional
    & user acceptance, and constructs solutions that remain scalable, adaptable,
    and replicable to deliver the standard solution across various platforms. Also,
    to provide technical expertise as a mentor to other team members...

    This role requires experience
    in Big Data and Enterprise Datawarehouse infrastructure,
    as well adopting appropriate emerging technologies and its solutions to answer
    business problems and identify opportunities impacting the revenue or operating
    income.

    Sr ISC Analytics Specialist is
    expected to closely work with ISC Global Analytics team members as well with
    Enterprise IT team to align practices and priorities to support the transition
    of analytics to the FORGE – Big Data platform.

    Key Tasks and Responsibilities
    Connect
    with business partners and identify opportunities to drive business value
    via analytics solutions.
    Builds
    intuitive interfaces, infographics, and visualizations to tell stories
    with data, visualization as a means of business optimization and process
    transformation.
    Design
    and build publication-ready data pipelines using diverse sets of
    structured and unstructured data.
    Ensure
    data pipelines are created using credible qualitative and quantitative
    methodologies based on key insights.
    Perform
    statistical analysis of complex data sets to better understand trends,
    relationships between variables, and to formulate business intelligence
    insights.
    Pays
    high attention to data accuracy. In depth understanding of data
    identification, collection, processing, and analysis methodologies.
    Drive
    continuous improvement and innovation. Work with cross functional teams
    effectively
    Actively
    consult, conduct pre-development workshops, develop POCs, Lead incubation.
    Coach
    and mentor Data Engineers / Specialists, leading by example through acting
    as an individual contributor
    Work
    with Honeywell businesses and Enterprise IT teams to clearly outline how
    enterprise platforms can enable business growth & productivity by
    seamlessly combining structured and unstructured data into a single,
    self-service analytical environment.
    Leverage
    knowhow and domain knowledge of Honeywell experts to define, design and
    develop intelligent solutions to operate on large data sets related to
    Supply Chain.

    Qualifications:

    Qualifications:
    Bachelor's in engineering / Technology degree or equivalent
    Specialized in Computer Science, Software Engineering / Information Technology or related field is preferred
    Certifications in Microsoft Certified Solutions Associate (MCSA) / Azure Data Solution Certification / AWS Solution
    Architect Certification / Snowflake certification is desirable
    Azure / Databricks / Scala / Python / and Visualization techniques Certification is preferred
    Experience:
    6+ years of Software
    development with 4+ years of experience working with data engineering.
    2+ years of experience with cloud/on premises data
    warehouses and data modeling.
    2+ years of hands-on experience in creating technical
    solutions on Cloud - Snowflake EDW / Informatica IICS / HVR as well as
    design and development on SQL Server is advantageous
    Demonstrated experience in progressively challenging and
    Responsible roles. Must have experience working in Matrix organization
    structure.
    Essential skills:
    Experience working with any of the data engineering
    skills like No SQL, ASW, Kafka, Hadoop et.
    Experience working with cloud data warehouses like
    Redshift, Azure SQL DW, Snowflake, Google Big Query.
    Excellent Data crunching and presentation/
    interpretation skills- Story building.
    Working knowledge of cloud / Big data Platform like
    Azure or AWS, exposure to Honeywell Forge – Big data platform
    Must be a good communicator of vision, ideas, and work
    requirements
    Must be an innovative and integrative thinker quick to
    visualize solutions and generate ideas
    Must be able to mentor / coach / guide experienced
    technology specialists.
    Strong business acumen, with ability to draw clear
    connections between data modeling activities and business
    challenges/opportunities
    Team Player, open to feedback, and flexible &
    adoptable to changing needs.
    Desired skills:
    Knowledge in Elasticsearch Kibana, REST APIs.
    Experience with the agile and DevOps methodologies
    Developing IoT Connectivity Solutions using Azure event
    hub/Apache Kafka.

    Additional Information

  • JOB ID: HRD224800
  • Category: Integrated Supply Chain
  • Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
  • Exempt
    • Early Career (ALL)
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