Data Engineer Lead
hace 5 días
**Stensul Agile Email Creation Overview**
At Stensul, we revolutionize email creation for the enterprise. Our platform dramatically reduces email creation time by up to 90%, empowering teams to focus on improving email performance.
We integrate with leading marketing platforms, including Marketo, Oracle Eloqua, Workfront, Adobe Campaign, and Salesforce Marketing Cloud. The world's best brands trust Stensul, including ASICS Digital, BMW, Box, Catalent Pharma Solutions, Clover Health, Greenhouse, and Samsung.
**Job Description**
We are seeking an expert to lead the building of a new business intelligence data stack. As a key member of our team, you will design and implement solutions such as data pipelines, data warehouse, data models, and data analytics. Your primary objective is to enable us to generate high-quality business and product insights, allowing the company to make better-informed decisions.
You will lead technical discussions and decisions that drive the generation of actionable insights. You will collaborate with other business areas, such as Product and Customer Success, to understand user needs and deliver value through business intelligence solutions and tools.
**Key Responsibilities**
- Working with roughly defined requirements to build effective solutions to data-informed decision problems.
- Building the infrastructure required to enable self-serving of insights by various stakeholders with different skill sets.
- Collaborating with other business areas to understand user needs and deliver value through business intelligence solutions and tools.
- Implementing analytics solutions that utilize the data pipeline to provide actionable insights into product development, customer acquisition, retention, operational efficiency, and other key business performance metrics.
**Requirements**
- Strong analytic skills related to working with unstructured datasets.
- Experience with GCP cloud services: Dataflow, GCS, BigQuery, GKE, etc.
- Experience with orchestration tools: Airflow, Dagster, Prefect, etc.
- Experience building 'big data' pipelines with tools like: Databricks Workflows, DBT, SQLMesh.
- Knowledge of data fundamentals theories such as Incremental Loading, Medallion Architecture, and data modeling.
- Knowledge of SQL and NoSQL databases, including Postgres and MongoDB.
- Knowledge of data lake and data warehousing solutions: Databricks, GCS, S3, Redshift, BigQuery.
- Knowledge of stream-processing systems: Storm, Spark-Streaming, etc.
- Knowledge of object-oriented/object function scripting languages: Python, Java, Scala, etc.
**What We Offer**
- A competitive salary and benefits package.
- A company laptop and phone reimbursement (if required).
- A fun, collaborative environment with opportunities for growth.
- The chance to be part of an amazing, inclusive team committed to building the next phase of Stensul.
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