Hello *Associate*,

Hope you are doing well
We have below requirement open. Please send me your genuine candidate on my
email ID  *ifthek...@canopyone.com <ifthek...@canopyone.com>*


*Position: Data Analysts *
*Location: Philadelphia (ONSITE only)*
*Type: Contract*

*FOCUS MORE ON SCALA*



*Looking for Ex comcast resumes here*



*Share skill metrics against these :*

   - Big Data(Spark,Scala)
   - Cloud Technologies - AWS S3, AWS Athena
   - SQL - Hive,Teradata,Spark SQL
   - Databricks
   - Python - DQ



   - Apply advanced statistical analysis, machine learning, and data mining
   techniques to derive actionable insights from complex datasets.
   -  Develop and implement predictive, prescriptive and inferential models
   to solve business challenges and drive decision-making processes.
   -  Must be good with collaborating with technical and non-technical
   stakeholders to effectively understand the business challenge, use case and
   structure the discussion in succinct format for driving next steps.
   - Collaborate with domain experts to understand business requirements
   and translate them into data-driven solutions.
   -  Communicate complex technical concepts and analytical findings
   effectively to both technical and non-technical stakeholders.
   -  Create visually compelling presentations, reports, and dashboards to
   convey insights and recommendations.
   - Lead workshops, meetings, and discussions to drive alignment and
   understanding across teams.
   - Provide strategic guidance and contribute to the development of
   data-driven strategies within the organization.



*Qualifications:*

   - Bachelor's or Master's degree in Computer Science, Data Science,
   Statistics, or a related field.
   - Proven experience (6+ years) as a data engineer and data scientist,
   preferably in a fast-paced technology or analytics-driven environment.
   - Experience in leveraging Graph data science concepts to solve business
   use cases a must.
   - Strong proficiency in data engineering tools and languages (e.g., SQL,
   Python, Scala, ETL frameworks, data warehousing).
   - Comfortable and experienced working in Databricks, Spark environment.
   - Extensive experience with machine learning frameworks (e.g.,
   TensorFlow, H2O) and data science libraries (e.g., SparkML).
   - Ability to develop visualizations, as necessary to present insights,
   metrics and how this informs addressing the business challenge.
   - Excellent presentation and communication skills, with the ability to
   convey technical concepts to non-technical audiences.
   - Experience in a networking or communications domain is a plus.
   - Experience interacting with other technical and non-technical
   stakeholders to collaborate on efforts like solutioning, understanding
   other data domains in order to source data is a must.

*Thanks & Regards*

*Mohammed Ifthekharuddin*

 Tel: 703-831-8282 Ext 223 Cell: 323-825-5662
  Email: ifthek...@canopyone.com  Web: www.canopyone.com
<http://canopyone.com/>

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