- Google Data Products
Position: Lead Software Engineer - Cloud / Google Data Products / SQL-NoSQL
Location: Hometown USA (100% Remote!)
Compensation: $100,000 - $150,000 + Excellent Benefits
This Client's headquarters are in New York City, but you can work fully remote!!
Leads team members to provide direct input to the overall engineering process and to team meetings.
Coordinates within a team environment which is essential to work on various aspects of the platform and products, as is a devotion of collaboration to problem solve, design sophistically, and increase product quality.
Leads the design and development of solutions to various problems either independently or in a team environment; designs and maintains efficient code that is reliable.
Guides the creation of technical documents such as a design specification document.
Ensures applications are performing at high capacity, responsiveness, and quality.
Finds solutions to reduce issues and defects.
Maintains that the platform’s code and data are organized, automated, and of high quality.
Guides junior team personnel by recommending software design and development opportunities/best practices.
Employees use knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial.
Uses knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial.
Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions.
Bachelor’s degree or equivalent combination of education and related experience.
5+ years of relevant experience and progressive experience where team leadership was demonstrated, required.
Hands on experience working with Google Data Products like BigQuery, Dataflow, Dataproc, AI Building Blocks, Looker, Cloud Data Fusion, Dataprep, etc.
Experience with SQL and NOSQL modern data stores.
Experience in Spark (Scala/Python/Java) and Kafka preferred.
Cloud data infrastructure knowledge of Azure databricks, snowflake, Amazon Redshift, etc.
Knowledge of data warehousing and data modeling.
Working with large datasets and solving difficult analytical problems using cloud solutions.