| Data Analysts || Philadelphia (ONSITE only) at Philadelphia, Pennsylvania, USA |
| Email: [email protected] |
| From: Ishavdeep Singh, Cloud Think Technologies [email protected] Reply to: [email protected] FOCUS MORE ON SCALA URGENT 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. Disclaimer: This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you are not the intended recipient of this message , or if this message has been addressed to you in error, please immediately alert the sender by reply email and then delete this message and any attachments. If you are not the intended recipient, you are hereby notified that any use, dissemination, copying, or storage of this message or its attachments is strictly prohibited. Email transmission cannot be guaranteed to be secure or error-free, as information could be intercepted, corrupted, lost, destroyed, arrive late or incomplete, or contain viruses. The sender, therefore, does not accept liability for any errors, omissions or contaminations in the contents of this message which might have occurred as a result of email transmission. If verification is required, please request for a hard-copy version. Keywords: sthree information technology |
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| Thu Nov 30 22:11:00 UTC 2023 |