Senior Analytics Engineer

December 6

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Level & Co.

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2 - 10 employees

🔐 Security

🔧 Hardware

Description

• Support decision making across the organization by working closely with subject matter experts and building tools to enable data-informed decisions. • Create new data models and flows from various sources for different use cases. • Collaborate with engineers to enhance telemetry collection for better insights. • Build data quality tests and support business users through workshops and performance monitoring of queries and dashboards. • A big part includes leadership in discovery, design, and building useful tools for the Data Team.

Requirements

• Advanced SQL skills to get the data you need from a data warehouse (we use BigQuery) • Data modeling and schema design skills (we use dbt) • Experience developing cloud hosted data ingestion web services (we’re in AWS and GCP) including code running as lambdas or in containers (e.g. Kubernetes, Docker) • Ability to match observability concepts (e.g. traces, logs, metrics) to observability needs (e.g. first tier support vs. QA reproducibility) • Familiar with ETL/ELT tools (we use Airflow and Stitch) • Experience in modern advanced analytical tools and programming languages such as Python • Software engineering fundamentals and ability to write production-ready code • Experience with version control systems (i.e. Git, Github) and workflows • Experience working with data visualization tools such as Tableau, Data Studio, Looker, Mode, Metabase, Superset etc. (we use SigmaComputing)