Senior Analytics Engineer
Senior Analytics Engineer
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Job Description
Since our founding in 2012 Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cuttingedge data and technology delivering a distinct market advantage for every single vehicle transaction. Today we stand as the foremost automotive AI and machine learning powered technology excelling in digital marketing risk management and strategic inventory management.
Lotlinx provides employees with a dynamic work environment that is challenging teamoriented and full of passionate people. We offer great incentives to our employees such as competitive compensation and benefits flex time off and career development opportunities.
Position Summary
We are seeking an experienced Senior Analytics Engineer to join our growing Data team. You will play a pivotal role in architecting building and optimizing the data foundations that power analytics and datadriven decisionmaking across LotLinx. Reporting to the Director of Data Analytics you will collaborate closely with Data Analysts Data Engineers and Product Managers to translate business needs into robust scalable and reliable data models and pipelines that are incorporated into our product portfolio. This is a key position where youll have significant ownership and impact on our data infrastructure and strategy.
This is a hybrid role and requires 34 days a week in either our Winnipeg or Hamilton office.
Responsibilities
- Architect & Build Data Models: Design develop and maintain scalable and performant data models in our data warehouse (Google BigQuery Apache Pinot) to serve as the single source of truth for analytics.
- Data Analysis: Conduct data validation and exploratory analysis across massive datasets (billions of rows terabytes) to ensure the integrity of data pipelines and the accuracy of downstream reporting.
- Develop Large Data Pipelines: Develop monitor and troubleshoot ELT/ETL pipelines processing highvolume data streams ensuring reliability and performance at the terabyte scale.
- Optimize Pipeline Performance: Optimize complex SQL queries and data transformation logic for maximum performance and costefficiency using multiterabyte datasets within Google BigQuery.
- Enhance OLAP performance: Analyze Apache Pinot query performance logs and usage patterns across terabytescale datasets to identify optimization opportunities and troubleshoot complex data access issues.
- Enable Data Consumers: Partner with data analysts data scientists and business stakeholders to understand their data requirements providing clean welldocumented and easytouse datasets.
- Champion Data Quality & Governance: Implement data quality checks testing frameworks and documentation standards to ensure the trustworthiness and usability of our data assets.
- Collaborate & Mentor: Work effectively within a collaborative team environment. Potentially mentor junior team members and share best practices in analytics engineering.
- Stay Current: Keep abreast of new technologies tools and best practices in the analytics engineering space and advocate for their adoption where relevant.
Qualifications
Experience: 4 years of relevant professional experience in Analytics Engineering Data Engineering or a highly related role with a proven track record of building and managing complex data systems.
- Expert SQL: Deep expertise in writing complex highly performant SQL for data transformation aggregation and analysis particularly within a cloud data warehouse environment like BigQuery.
- Performance Optimization: Demonstrated experience writing tuning and debugging complex SQL queries specifically for largescale data warehouses (multiterabyte environments) preferably BigQuery or Apache Pinot.
- Data Modeling Mastery: Strong understanding of data modeling concepts (e.g. Kimball Inmon Data Vault) and practical experience designing and implementing warehouse schemas.
- ETL/ELT & Orchestration: Proven experience building and maintaining data pipelines using relevant tools and frameworks. Python proficiency for scripting and data manipulation is essential.
- Cloud Data Warehousing: Significant experience working with cloud data warehouses specifically Google BigQuery. Understanding of underlying architecture and optimization techniques.
- ProblemSolving: Excellent analytical and problemsolving skills with the ability to troubleshoot complex data issues independently.
- Communication & Collaboration: Strong communication skills capable of explaining complex technical concepts to both technical and nontechnical audiences. Proven ability to collaborate effectively across teams.
NicetoHaves
- Previous experience in the Automotive or AdTech industry.
- Familiarity with workflow orchestration tools like Apache Airflow.
- Experience with Apache Pinot.
- Experience with data quality and testing frameworks.
- Familiarity with Google Cloud Platform (GCP) services beyond BigQuery.
Our Tech Stack
- Cloud/Warehouse: Google Cloud Platform (GCP) AWS Google BigQuery Apache Pinot
- Transformation: SQL Python
- Orchestration: Airflow Cloud Composer
- Ingestion: Custom Scripts Pub/Sub Lambda
Other: GitLab Kubernetes Apache Pinot OpenSearch
The salary range for this position is $103000 $157000
Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability age or veteran status.
Lotlinx is not currently able to offer sponsorship for employment visa status.
Lotlinx is headquartered in Peterborough NH and has locations in Holmdel NJ Manitoba Ontario and British Columbia Canada in addition to a large team spanning from the US to Canada.
Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees their abilities and seek to foster an open cooperative dynamic environment where the team and company alike can thrive.
Required Experience:
Senior IC
Employment Type
Full Time
