What are the responsibilities and job description for the Looker Data Engineer position at Life Protect 24/7?
Job Description
Job Description
Overview
At Life Protect 24 / 7, we're passionate about transforming data into actionable insights. We leverage cutting-edge technology to drive decision-making and deliver exceptional value to our clients. As we continue to grow, we're seeking a talented Looker / Data Engineer to join our team and play a pivotal role in our data engineering initiatives.
Job Description
We're looking for an experienced Looker / Data Engineer who excels in SQL and LookML to support our data-driven objectives. In this role, you'll be responsible for writing and optimizing SQL queries in BigQuery, developing and maintaining LookML models in Looker, and building insightful dashboards and looks. You will also support ETL processes and utilize Google Cloud Platform APIs to programmatically achieve data engineering tasks.
Benefits and Compensation
Competitive starting salary
401K with Company Match
Paid Time Off
Medical, Dental, Vision, AD&D, and Life Insurance
HSA Options
Fully stocked kitchen with snacks and coffee
On site company Cafe Bistro
Convenient access to walking trails and Norfolk Premium Outlets
Key Responsibilities
SQL Development : Write and optimize complex SQL queries in BigQuery to extract, transform, and load data efficiently
Looker Development : Design, build, and maintain LookML models in Looker to support data visualization and reporting needs
Dashboard and Look Creation : Develop and maintain interactive dashboards and reports in Looker to provide actionable insights for various stakeholders
ETL Support : Support and manage ETL processes to ensure timely and accurate data integration from multiple sources
Google Cloud Platform APIs : Utilize GCP APIs to programmatically automate and streamline data engineering tasks
Data Quality Assurance : Monitor and ensure data accuracy and integrity across all reports and dashboards
Collaboration : Work closely with cross-functional teams to understand data requirements and deliver solutions that meet business needs
Insight Derivation : Derive insights through meticulous analysis
Complex Data Models : Strong ability to understand large and complex data models
Preferred Qualifications
Proficiency with Git
Knowledge of data warehouse principles and methodologies
Experience in data science, advanced analytics, machine learning
Experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats
Experience GCP cloud services and data warehouse stores like BigQuery
Self-driven, highly motivated and able to learn quickly
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