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