SENIOR DATA PLATFORM ENGINEER SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 7, 2024 - The Senior Data Platform Engineer possesses extensive experience in leading comprehensive software projects, from initial development to deployment, with a robust knowledge of both SQL and NoSQL databases including Postgres, MySQL, and MongoDB. Expertise encompasses web-based architectures, leveraging web servers, load balancing, and caching, along with a strong aptitude for problem-solving and scaling algorithms for high-performance environments. This role demands proficiency in developing data-driven web applications, utilizing the latest web development trends, and implementing machine learning platforms such as Spark and TensorFlow to enhance business intelligence applications.

Essential Hard and Soft Skills for a Standout Senior Data Platform Engineer Resume
  • Data Architecture
  • Cloud Platforms (AWS/Azure/GCP)
  • Data Modeling
  • ETL/ELT Development
  • SQL and NoSQL Databases
  • Data Warehousing
  • Python Programming
  • Data Pipeline Design
  • API Integration
  • Performance Optimization
  • Leadership
  • Communication
  • Problem-Solving
  • Collaboration
  • Strategic Thinking
  • Adaptability
  • Critical Thinking
  • Project Management
  • Time Management
  • Attention to Detail

Summary of Senior Data Platform Engineer Knowledge and Qualifications on Resume

1. BS in Computer Science with 5 years of Experience

  • Strong OO programming experience using Java or Python.
  • Experience with advanced SQL and large relational databases such as Teradata, Oracle, or SQL Server.
  • Experience with Linux environment and building CI/CD pipelines
  • Ability to take initiative, being multi-task, self-starter, detail-oriented are essential in this role
  • Knowledge and experience in Cloud technologies such as GCP, Azure
  • Knowledge of the systems development life cycle, client area’s functions and systems, and systems application program development technological alternatives.
  • Proven implementation of creative technology solutions that advanced the business.
  • Excellent written and oral English communication skills.
  • Proven Data Warehouse skills and experience
  • Experience with Data modeling
  • Ability to communicate complex data topics effectively with business stakeholders
  • Expertise in data science, modeling, machine learning, and analytics. 

2. BA in Data Science with 4 years of Experience

  • Experience in building complex ETL pipelines with dependency management utilizing File Watchers, APIs, etc.
  • Experience with Airflow, Talend, etc.
  • Experience directly related to Big Data technologies
  • Experience with Spark, Hive, Hadoop, Parquet, HDFS, Python, Scala, Data Lake, NoSQL
  • Ability to possess Industry-recognized certifications including Microsoft Certified Solutions Associate, AWS Solutions Architect, Spark Certified Developer
  • Experience with the Scrum Agile methodology
  • Deep familiarity with PaaS services, containers, and orchestrations specifically around Docker and Kubernetes.
  • Strong ability to learn new technologies in a short time.
  • Well-developed verbal and written communication skills.
  • Strong programming skills like Python and strong SQL skills
  • Strong ETL experience (Airflow or Pentaho a bonus)
  • Experience Cloud computing such as AWS, GCP
  • Experience with DevOps/CICD

3. BS in Information Technology with 8 years of Experience

  • Experience leading successful software projects from inception through deployment
  • Knowledge of SQL (e.g. Postgres, MySQL) and NoSQL databases (e.g. MongoDB).
  • Strong understanding of web-based architecture - web servers, load balancing, caching, databases etc.
  • Strong problem-solving skills and algorithm scaling.
  • A passion for answering questions from analysis of data.
  • Experience in developing data-driven web applications.
  • Up-to-date knowledge of the latest trends in web application development, including the Amazon AWS ecosystem.
  • Experience building and using RESTful APIs.
  • Experience with multi-threading, replication etc. concepts in cloud applications.
  • Familiarity with large-scale business intelligence applications.
  • Knowledge of distributed machine learning platforms like Spark, TensorFlow, Keras, PyTorch, Mahout or GraphLab
  • Experience leading software projects from inception to completion

4. BA in Business Analytics with 6 years of Experience

  • Strong SQL Server Integration Services (SSIS) experience
  • Strong T-SQL experience
  • Experience with Query tuning and ability to read query plans in SQL Server
  • Experience with software development processes and agile methodologies
  • Data modeling and architecture (data lakes)
  • Experience with ETL and integration design patterns
  • Experience with Data visualization (Oracle Analytics Cloud)
  • Experience with containerization technologies like Docker, Kubernetes
  • Experience successfully deriving insights from data, modeling, and simulation into actionable algorithms that drive business value. 
  • Expertise in big data technology infrastructure and environments coupled with business process.
  • Ability to communicate clearly, concisely, and convincingly with technical and non-technical audiences.
  • Knowledge of sleep science
  • Knowledge of sleep research
  • Experience working in an agile environment