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Need for Ex comcast resumes Data Analyst with Scala @ Philadelphia (Onsite only) at Philadelphia, Pennsylvania, USA
Email: [email protected]
Hi

Greetings from
Canopy One Solutions,

Please go
through below requirement if you are comfortable, please share your updated
resume to my email id: 
[email protected]

Need for Ex comcast resumes here

Position: 
Data Analyst
with scala

Location : 
Philadelphia
(Onsite only)

Experience:9+

Note: Passport
Number and Linkedin ID are Mandatory

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

Ravi Kumar Danda

Tel:

703-831-8282 Ext.

2570

Email:
[email protected]

Web:www.canopyone.com

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Wed Dec 06 21:12:00 UTC 2023

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