Sr. Data Engineer
Immersa connects to any spreadsheet, SaaS application or data warehouse with a simple point and click. Instantly connect, combine and curate data from two or more data sources, without having to write code. Apply business logic to turn data into intelligence, and intelligence to actions that drive business outcomes. Send these actions to your sales or service team in their CRM of choice and rapidly automate workflows. At Immersa, we make data intelligence easy and accessible for everyone.
Building scalable data pipelines from scratch in the Cloud utilizing Sparks or Database technology like data processing frameworks as well as airflow of similar schedulers. Performing data schema modeling working with cloud data warehouses like Snowflake, Redshift, Google Big Query and performance optimized SQL queries. Working closely with product managers and application developers using good communication skills and proficiency to create design documents, and defining architectures given a set of requirements. Designing and deploying high performance systems with reliable monitoring and logging practices: Setting up data pipeline infrastructure on public clouds e.g. AWS, Microsoft Azure and/or GCP; Use of data validation tools and pipeline monitoring tools and auto scaling to manage cost and performance tradeoffs; Analyze large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions.
Minimum Requirements: A bachelors degree in Computer Science, Computer Engineering, or related quantitative field of study. He or she should have at least 6 plus years of related data science engineering experience.
Other requirements include: Deep understanding of Cloud data warehouses. Demonstrated an ability to architect and implement data pipelines and data schemas. Experience with Spark or Database Technology like data processing frameworks. Experience with Airflow or similar schedulers. Strong Knowledge and experience in Export Transform Load (ETL) for creation of data pipelines Experience with cloud data warehouses like Snowflake, Redshift, Google Big Query or performance optimized SQL queries. Excellent communication skills, both written and verbal and ability to work across teams.
Aman Singla, VP Engineering
777 High Street, Palo Alto, CA 94301.
- MacBook Air/Pro
- Vision, dental, and medical plan choices
- Flexible working hours with a hybrid workplace
- Competitive salary & 401(K)
- Flexible/Personal Time Off
- Stock options, and other financial benefits
- Paid Holidays
Immersa is committed to equal treatment and opportunity in all aspects of recruitment, selection, and employment without regard to gender, race, religion, national origin, ethnicity, disability, gender identity/expression, sexual orientation, veteran or military status, or any other category protected under the law. Immersa is an equal opportunity employer; committed to a community of inclusion, and an environment free from discrimination, harassment, and retaliation.
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