We are a tech-enabled growth firm–at the intersection of marketing, consulting & data intelligence–igniting revenue and brand recognition for leading and emerging companies around the world. As a people-first firm, we value diversity in backgrounds and experiences. We strongly believe our people and culture are key to our success. Our vision is to be recognized as the most valued and respected private growth marketing firm in the world–with a scalable brand, culture and services. As a full-service growth marketing firm, we offer best-in-class services including: SEO, Content Marketing, Paid Media, Social Media Marketing, Programmatic + CTV, Public Relations, Influencer Marketing, Email + SMS, Conversion Rate Optimization, Retail Marketing, Creative, and Web Development. Here at Power Digital, we are hyper-focused on helping brands drive revenue growth and brand recognition, ultimately driving irrefutable value for our clients. At the heart of Power Digital is our proprietary technology, nova, which analyzes businesses through first-party data, simplifying investment planning for marketing and diligence in M&A––putting marketers in a strategic seat at the table––and providing value in unparalleled ways. Managing billions in media, our dynamic team––of consultative marketers, creatives, analysts and technologists––challenge traditional ways of planning and measurement through meticulous testing and data science across each milestone of the customer journey. Proficiency in spoken and written English at an advanced level is required for this role. A day in the life: As a Data Engineer within our technology team, your daily responsibilities center on managing and optimizing nova Cloud, our comprehensive data solution that spans data inbound, management, activation, and mobilization for Power Digital. Your role encompasses various stages, addressing a multitude of data sources and use cases across our modern data stack. Close collaboration with cross-functional teams is essential to grasp data requirements and ensure accessibility. Participating in agile processes, your tasks align with sprint planning, standups, and backlog management. Your continuous focus remains on optimizing data storage, retrieval, and processing to enhance scalability and performance. Ongoing priorities involve troubleshooting and maintaining data quality, all contributing to the foundation of data-driven decision-making for marketing analytics and reporting. Responsibilities: Design, build, and maintain efficient, reliable, and scalable data pipelines. Develop and optimize data models using DBT to support data warehousing and business intelligence initiatives. Collaborate with cross-functional teams to understand data requirements and ensure the availability and accessibility of data for analytics and reporting. Optimize data storage, retrieval, and processing for efficient and scalable data operations. Implement data quality checks and validation processes to ensure the accuracy and integrity of data. Develop and maintain documentation for data engineering processes, ensuring transparency and knowledge sharing. Continuously monitor data pipelines and troubleshoot issues to ensure data availability and reliability. Assist in the development and maintenance of data warehouses and data lakes to support marketing analytics and reporting needs. Role Requirements: 3-5 years of proven experience as a Data Engineer, with specific expertise in SQL, DBT, and data modeling. Experience with data warehousing solutions (e.g., Snowflake, Google BigQuery ) and data pipeline orchestration tools (e.g., Apache Airflow, AWS Step Functions ). Solid understanding of ETL processes and data warehousing concepts. Knowledge of data governance and data quality best practices. Experience with cloud data services (e.g., AWS, Azure, Google Cloud). Familiarity with analytics, visualization, data analysis, and reporting is a plus. Excellent problem-solving skills and attention to detail. Strong communication and collaboration abilities. Key Performance Indicators (KPIs) Data Pipeline Efficiency: Measure the efficiency of data pipelines in terms of data processing speed and resource utilization. Data Quality: Monitor and maintain data quality standards, ensuring accuracy, completeness, and consistency. Data Availability: Ensure data availability for analytics and reporting, minimizing downtime and interruptions. Data Storage Optimization: Optimize data storage costs while maintaining data accessibility and performance. Troubleshooting and Issue Resolution: Track and resolve data pipeline issues promptly to minimize data-related disruptions. Most Important Things (MITs) Collaborate closely with marketing teams to understand data requirements and provide timely data solutions that support their analytics needs. Continuously improve data engineering processes, focusing on automation and scalability to meet growing data demands. Ensure data security and compliance with relevant regulations and industry standards, safeguarding sensitive marketing data. Power Digital's people and culture are at the core of our success, which is why diversity in our team's backgrounds and experiences are paramount. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, and backgrounds, who strive to make an impact inside and outside of the workplace. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one's identity. All of our employees' points of view are key to our success, and inclusion is everyone's responsibility. #J-18808-Ljbffr
