Senior Data Engineer & Data Scientist – AWS Expert

  • July 03, 2024
  • Programming & Tech
  • Full time
  • Remote
  • 1655 to 2535 USD
Amazon Web Services (AWS)
Data Science
Python
English advanced

Are you passionate about data and its potential to drive business decisions? Do you have a knack for transforming raw data into actionable insights using cutting-edge technologies? If your answer is yes, we have the perfect role for you! We are seeking a Senior Data Engineer & Data Scientist, specializing in Amazon Web Services (AWS), to join our dynamic team. This role is the ideal blend of data engineering, data science, and business intelligence, designed for professionals who thrive in solving complex problems and delivering high-impact solutions. In this role, you will be responsible for designing, developing, and maintaining our data infrastructure on AWS. You'll harness your advanced Python programming skills and expertise in data science to analyze and interpret large datasets. Additionally, you'll use Power BI to create interactive and insightful visualizations that help drive strategic business decisions. Your work will support cross-functional teams by providing clean, reliable, and well-structured data. Key Responsibilities: 1. **Data Architecture and Engineering:** - Design and implement scalable data pipelines using AWS services such as S3, Redshift, Lambda, and Glue. - Develop and maintain ETL processes to ensure high-quality and timely data flow. - Optimize and troubleshoot large-scale data processing systems for performance and cost-efficiency. 2. **Data Analysis and Science:** - Apply statistical methods and machine learning techniques to interpret complex data and generate actionable insights. - Develop predictive models and algorithms to solve business challenges. - Collaborate with cross-functional teams to understand data needs and provide technical solutions. 3. **Business Intelligence & Visualization:** - Create and manage dashboards and reports using Power BI to visualize data effectively. - Ensure data accuracy and consistency in visualizations and provide meaningful insights to stakeholders. - Train and support team members in the use of Power BI for their data visualization needs. **Qualifications:** - Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. - 5+ years of experience in data engineering and data science roles. - Expertise in AWS services related to data processing and storage. - Strong proficiency in Python for data manipulation, analysis, and machine learning. - Proven track record of designing and implementing data pipelines and ETL processes. - Hands-on experience with Power BI for creating business reports and dashboards. - Strong problem-solving skills and the ability to work on complex projects with minimal supervision. - Excellent communication skills to convey complex technical concepts to non-technical stakeholders. **Preferred Qualifications:** - Certifications in AWS (e.g., AWS Certified Data Analytics – Specialty). - Experience with big data technologies such as Hadoop, Spark, or Kafka. - Familiarity with other programming languages and data visualization tools. **Why Join Us?** - Be part of an innovative and rapidly growing company that values data-driven decision-making. - Work in a collaborative and inclusive environment with opportunities for professional development. - Enjoy competitive compensation, comprehensive benefits, and flexible working conditions. - Make a direct impact by enabling our organization to harness the power of data for strategic growth. If you're ready to take your career to the next level and make a significant impact in the world of data, apply today to become our Senior Data Engineer & Data Scientist – AWS Expert.

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