AWS Data Engineer/ Lead: Philadelphia PA (Need Only Locals)

  Hello All,    Hope you are doing great  Please go through the job description and let me know your interest.    Job Title: AWS Data Engineer (Need 12+ Years of experience)  Work Location Philadelphia PA (Onsite from Day 1) (Need Only Locals)  Duration: Long Term Contract    Responsibilities  • Data Pipeline Development and Management: Design, construct, install, test, and maintain highly scalable data management systems. Develop and optimize ETL/ELT pipelines using PySpark and Databricks to process large volumes of structured and unstructured data.  • Cloud Infrastructure: Utilize AWS services for data storage, computation, and orchestration, ensuring a reliable and efficient data infrastructure.   • Data Analysis and Insights: Collaborate with business stakeholders to understand customer experience challenges and opportunities. Analyze complex datasets to identify trends, patterns, and insights related to customer behavior, network performance, product usage, and churn.  • Business Use Case Analysis: Apply your analytical skills to various customer experience use cases, including: o Churn Prediction: Develop models to identify customers at risk of leaving and understand the underlying drivers. o Network Experience: Analyze network performance data to identify and address areas of poor customer experience. o Personalization: Enable data-driven personalization of marketing communications, offers, and customer support interactions. o Billing and Service Inquiries: Analyze inquiry data to identify root causes of customer confusion and drive improvements in billing and service clarity.  • Reporting and Visualization: Create compelling and insightful reports and dashboards using Tableau or Power BI to communicate findings to both technical and non-technical audiences.  • Data Governance and Quality: Ensure data accuracy, completeness, and consistency across all data platforms. Implement data quality checks and best practices.  • Collaboration and Mentorship: Work closely with cross-functional teams, including product, marketing, and engineering, to deliver data-driven solutions. Mentor junior team members and promote a culture of data-driven decision-making.    Qualifications  • Education: Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.  • Experience: 5+ years of experience in a data engineering or data analyst role, with a proven track record of working with large-scale data ecosystems.  • Technical Skills:   o Expert-level proficiency in Python and SQL. o Hands-on experience with PySpark for big data processing.   o In-depth knowledge of the Databricks platform. o Strong experience with AWS cloud services (e.g., S3, EC2, Redshift, EMR).   o Demonstrated expertise in data visualization and reporting with Tableau or Power BI.  • Analytical Skills:   o Strong analytical and problem-solving skills with the ability to translate business requirements into technical solutions.   o Experience in the telecommunications industry with a focus on customer experience is highly desirable.   o Familiarity with statistical analysis and machine learning concepts is a plus.  • Soft Skills:  o Excellent communication and presentation skills with the ability to articulate complex technical concepts to a non-technical audience.   o Proven ability to work independently and as part of a collaborative team in a fast-paced environment.   o A strong sense of curiosity and a passion for using data to drive business impact.