Level 3 Data Engineer

Skills & Experience:

• 10yrs Data Engineering/Data Analyst experience

• Bachelors or Masters degree in Computer Science Data Science Information Technology or a related field with a focus on data engineering or data analytics

• Technical Expertise: Strong proficiency in programming languages such as Python SQL Java or Scala for data processing and analysis

• Data Engineering Skills: Experience with data modeling ETL processes data warehousing data integration and data pipeline development

• Database Knowledge: Proficiency in relational databases (e.g. SQL PostgreSQL MySQL) and NoSQL databases (e.g. MongoDB Cassandra)

• Cloud Platform Experience: Working knowledge of cloud platforms such as Snowflake AWS Azure or Google Cloud Platform for data storage and processing

• Data Visualization: Experience with data visualization tools (e.g. Power BI) to create meaningful insights from data

• Data Quality Assurance: Understanding of data quality principles data governance and data validation processes

• Analytical Skills: Ability to analyze complex data sets identify trends patterns and insights to drive data-driven decision-making

• Problem-Solving Abilities: Proficiency in troubleshooting data-related issues identifying root causes and implementing solutions

• Project Management Knowledge: Familiarity with project management methodologies to contribute effectively to project planning and execution

• Communication Skills: Strong verbal and written communication skills to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders

• Continuous Learning: Willingness to stay updated with the latest data technologies tools and industry trends to enhance data engineering skills

• Experience: Prior experience in data engineering data analytics or related roles with a track record of successful data project delivery

• Technical Leadership: Ability to make informed strategic decisions that align technology with business objectives while balancing short-term and long-term trade-offs

• Customer Focus: Deep understanding of customer needs and how to translate them into effective technical solutions that drive business value

• Collaboration: Encourages collaboration across teams and stakeholders breaking down silos and ensuring alignment

• Problem-Solving: Strong analytical and problem-solving skills capable of addressing complex technical challenges and delivering innovative solutions

• Innovation: Ability to lead innovation in technology while maintaining an eye on product-market fit and user experience

• Agility: Adaptability in a fast-moving environment with a mindset focused on delivering high-impact solutions quickly and iteratively