Analytics Engineer
$70k - $80kMetronet
Love Your Mondays again! Join the Future of Connectivity with Metronet! Are you ready to launch your career with one of the nation’s fastest-growing fiber-optic powerhouses? Welcome to Metronet, where we don’t just build networks; we build communities. Analytics Engineer As an Analytics Engineer, you will bridge the gap between business stakeholders and technical data solutions. You will partner directly with analysts, business leaders, and technical teams to understand business requirements, design scalable data models, and deliver reliable data sets that drive decision-making across the organization.
ESSENTIAL JOB FUNCTIONS:
* Design and develop data serving and semantic layers to support business needs ranging from traditional reporting to reverse ETL and LLM/AI implementations. * Develop data models for use by analysts and applications from across the business using modern dimensional modeling practices to efficiently serve accurate, consistent data. * Build and maintain robust, scalable data pipelines to extract, transform, and load (ETL, ELT) data from various sources into the data platform using both batch processing and event-driven patterns. * Create efficient, performant data models to support business requirements and analytics needs. * Implement and automate data quality checks and monitoring to ensure data accuracy and drive observability. * Manage, troubleshoot and optimize existing data infrastructure, including cloud-based solutions and on-premises systems. * Leverage cloud data platforms (Fabric, Databricks, Snowflake, etc.) for data storage, processing, and analysis. * Work closely with data analysts, data scientists, and business stakeholders to understand their data needs and deliver solutions. * Identify and resolve data-related issues and challenges for technical and non-technical stakeholders. * Support company-wide projects ranging from server migrations to mergers and acquisitions as a data and systems expert. * Automate data processes to improve efficiency and reduce manual effort. Implement modern concepts like metadata-driven pipelines and Infrastructure-as-Code that will play a key role in a scalable, resilient data platform.- Document data processes, architecture, and workflows.
- All other duties as assigned
JOB QUALIFICATIONS AND REQUIREMENTS:
- Bachelor's degree in computer science, engineering, or a related field.
- Experience as a Data Analyst, BI Analyst, Financial Analyst, or similar
- Experience gathering requirements directly from business stakeholders
- Experience with data warehousing and data lake technologies, concepts and
- Understanding of data modeling and ETL processes and best practices
- Experience with multiple cloud platforms (Azure, AWS, etc.) is required;
- Strong analytical and problem-solving skills
- Experience implementing data quality monitoring and observability solutions
- Willingness to work as a team and independently.
- Must be legally authorized to work in the U.S.
ADDITIONAL JOB REQUIREMENTS:
- 3 – 5 years of experience as a Data Engineer or Analytics Engineer
- Experience with Spark (PySpark, SQL SQL, etc.)
- Experience with developing bespoke data pipelines and handling various
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