What are the responsibilities and job description for the Data Engineer position at MW Partners LLC?
Job Details
Position: Senior Data Engineer
Location: [Fairfield, NJ, 07004], [New York, NY, 10174]
Job Description:
Responsibilities and duties:
- Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business.
- Design and implement large-scale, data structures that support analytics and data science needs, optimizing for speed, scalability, and reliability.
- Create seamless data ingestion processes (both real-time and batch) using modern ETL/ELT practices, leveraging cloud technologies and big data tools to ensure smooth data flow.
- Collaborate with business teams to understand needs, and translate them into flexible, scalable data solutions that grow with the company.
- Work alongside engineers to establish best practices for data system creation, ensuring data quality, integrity, and proper documentation throughout.
- Continuously improve reporting and analysis by automating processes, streamlining workflows and empowering teams with self-service data tools for easy access to insights.
- Partner with senior leadership to stay aligned on business objectives, provide regular updates, and make data-driven decisions to drive progress.
- Be the subject matter expert in your area, understanding the ad tech landscape and identifying ways to leverage Client s unique position in the market.
- Take the initiative to identify, troubleshoot, and resolve challenges that could hinder progress on strategic goals, ensuring the team remains on track to meet both technical and business objectives.
Requirements:
- Bachelor of Engineering in Computer Science or equivalent preferred.
- 7 years of experience designing and implementing data warehouse solutions, focusing on scalability and performance.
- 7 years of experience writing complex SQL queries and developing robust ETL/ELT pipelines to transform and integrate data.
- 7 years of programming experience in languages like Python, focusing on building scalable and efficient solutions.
- Extensive experience in building and optimizing APIs, containerization, and orchestration with Kubernetes to ensure scalable, high-performance data systems.
- Hands-on experience with Cloud data warehouses (ideally with Snowflake, Google BigQuery, or AWS Redshift).
- Proficient in cloud technologies such as Google Cloud Platform or AWS.
- Experience leading and collaborating with agile teams, utilizing tools like Jira and Confluence, to drive user-centered and iterative development processes.
- Expertise in creating reports and dashboards using tools like Tableau, Looker, or Power BI to enable insightful decision-making.
- Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies.
- Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
