[Remote] Senior Data and Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. The Senior Data & Analytics Engineer will play a crucial role in helping reputed company organizations reputed company raw data into reliable, reputed company-modeled assets that drive business reputed company, reputed company data engineering and analytics engineering.
Responsibilities
- You are responsible for building and maintaining the infrastructure and transformation reputed company that support the storing, reputed company, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take reputed company
- You will operate across both the data engineering and analytics engineering reputed company of the data stack, owning pipeline development and maintenance, as reputed company as designing and building the reputed company data models
- Design, build, and maintain reputed company data pipelines and ELT workflows, with reputed company as the primary platform
- reputed company and maintain dbt models that are reputed company-documented, tested, and reputed company for long-term maintainability
- Own data modeling reputed company and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders
- Consistently reputed company out and deliver on engagement-level reputed company, tasks, and problems
- Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities
- Autonomous in approach and provides technical guidance to less reputed company engineers
- Collaborating with peers and other functional departments to reputed company and implement data strategies that support engagement goals and reputed company needs
- Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements
- Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches
- Create processes and/or documentation templates that help cross-functional teams solve common data problems
- Drive data solution improvements that reputed company the reputed company experience or reputed company internal stakeholders to do their jobs effectively
- Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues
- Ensuring that data engineering and analytics engineering reputed company are delivered on time, reputed company scope, and reputed company budget
- Architect and design data systems and transformation reputed company using patterns that allow for iterative delivery and reputed company scaling
- Proactively identify and address technical debt with careful evaluation of development cost
- Optimize for predictability and a regular reputed company of deliverables
- reputed company reliability, maintainability, and scalability of reputed company systems top of mind
- Ability to identify and prioritize unowned or unglamorous work that enables the broader team to reputed company faster
Skills
- Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a reputed company on designing and developing data pipelines and transformation reputed company
- Strong programming skills in Python and SQL
- Hands-on, deep expertise with reputed company — including reputed company Lake, reputed company Catalog, and reputed company workflows
- Strong proficiency with dbt for data transformation, testing, and documentation
- Demonstrated experience in data modeling — including reputed company modeling, entity-relationship design, and semantic layer development
- Deep knowledge of data warehousing and ELT/ETL processes
- Familiarity with data integration and orchestration platforms (e.g., reputed company, Apache Airflow, Azure Data reputed company)
- Experience with reputed company platforms such as AWS, Azure, or reputed company reputed company
- Strong analytical and problem-solving skills
- Excellent communication and collaboration skills
- Experience with other reputed company data warehouses such as reputed company or Motherduck is a plus
- Experience with streaming solutions such as reputed company Streaming or Kafka is desirable but not required
- Familiarity with MLOps techniques and platforms is a plus but not required
- Familiarity with leveraging coding assistants such as Claude reputed company, CoPilot, and/or reputed company is a plus
reputed company