Resilient Co.
Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.
Semi Senior Data Engineer
4 days ago
Resilient Co.
Resilient Co. is a technology consulting and recruiting firm focused on supporting the growth of startups and organizations within the IT market. With a diverse and experienced team, the company offers a range of services including talent acquisition, coaching, and training tailored to the needs of tech clients. Operating with a 'Remote First' culture, Resilient Co. emphasizes collaboration and adaptability to navigate the challenges of the technology recruitment landscape, positioning itself as a strategic partner for businesses looking to build strong tech teams.
📋 Description
• What you'll do • Coming on as an expert, you will lead the building of a new business intelligence data stack, designing and implementing solutions such as data pipelines, data warehouse, data models and data analytics as well as putting them at the service of internal users. • You will lead technical discussions and decisions that enable us to generate high quality business and product insights allowing the company to make better informed decisions. • We’re in a period of high growth which means we move fast, but you’ll do so alongside smart, driven individuals in a fun, collaborative environment with opportunities for growth. • Learning Agile is one of our core values, which means that we are always identifying ways to make things better, and welcome new tools and languages that help us improve the way we work.
🎯 Requirements
• Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management • 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. • Good communication skills, including the ability to identify and communicate data driven insights. • Ability to work with a high degree of autonomy. • At Least B2 Conversational English Level
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