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As a member of the Data & BI Engineering team you will primarily focus on advancing our Enterprise Data Platform to allow the organization to make data-driven decisions. The successful candidate will work closely with cross-functional teams to identify business requirements, design, and develop data models, data warehouses, and data visualization solutions that help support the organization's strategic goals. The Staff Data Engineer will work in a dynamic environment and will be required to stay current with the latest trends and technologies in the business intelligence field. The ideal candidate will be able to pick up business domain and internal process knowledge and leverage that knowledge to think strategically, communicate effectively, and manage multiple projects simultaneously. The team is also responsible for administering tools and platforms around reporting, analytics, and data visualization while promoting best practices. The role requires a strong combination of technical expertise, leadership skills, and a deep understanding of data engineering principles and best practices. We are looking for a driven, detail-oriented, and passionate engineer to come to join our team.
Job Responsibility:
Design and build infrastructure for optimal extraction, transformation, and loading (ETL) of data from a wide variety of data sources, including data identification, mapping, aggregation, conditioning, cleansing, and analyzing
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Collaborate with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver valuable insights
Effectively communicate complex technical concepts to non-technical audiences
Desire to automate everything
Maintain documentation and operational knowledge base
Coach and technically train junior staff on design and development standards and best practices
Design and implement data security and governance protocols to ensure the accuracy and reliability of data
Requirements:
10+ years as a data engineer
10+ years of experience using RDBMS, SQL, Python languages
10+ years of experience with ETL/ELT tools like Matillion, Cloud Data Fusion, Informatica, Talend, Airflow, SSIS
8+ years of experience with BI Tools like Tableau, Power BI, Looker
3+ years of experience with cloud-native architecture and data solutions such as EMR, RDS, BigQuery and RedShift
Strong familiarity with GCP, AWS, SQL Server, BigQuery
Proficient in writing advanced SQL procedures, tuning SQL execution plans
Demonstrated knowledge of development processes and agile methodologies
Strong analytical and interpersonal skills, comfortable presenting complex ideas in simple terms
Comfortable handling large amounts of data
Experience ensuring data and modeling accuracy, cleanliness, reliability
Experience translating business requirements into functional, and non-functional requirements
Bachelor's or Master's degree in Computer Science, Data Science, or a related field
Nice to have:
Experience with Google Cloud or similar cloud provider
Significant experience with open source platforms and technologies
Experience with data science and machine learning tools and technologies is a plus