Senior Analytics Engineer designing scalable data models and optimizing data pipelines at Klar. Collaborating with cross - functional teams to ensure data quality and mentorship of business analysts.
About the role
- Senior Data & Analytics Engineer at Ford, working on data integration and analytics solutions. Collaborating with teams to support data utilities and enhance customer loyalty through insights.
Responsibilities
- Lead collaboration with stakeholders and cross-functional teams to gather and define complex data requirements, ensuring alignment with strategic business objectives
- Architect and implement sophisticated ETL pipelines, ensuring efficient data integration into BigQuery from diverse batch and streaming sources, with a focus on Supply Chain IT solutions
- Design, build and optimize advanced data models to support comprehensive business intelligence and analytics
- Spearhead the development and maintenance of data ingestion and analytics pipelines using cutting-edge tools and technologies, including Python, SQL, and DBT/Dataform
- Ensure the highest standards of data quality and integrity across all data processes
- Data workflow management using Astronomer and Terraform for cloud infrastructure, promoting best practices in Infrastructure as Code (IaC)
- Lead the creation of interactive dashboards and reports using QlikSense, providing strategic insights and data visualization
- Conduct thorough data mapping, impact analysis, root cause analysis, and document data lineage to support robust data governance
- Develop comprehensive documentation for data engineering processes, promoting knowledge sharing and system maintainability
- Utilize GCP monitoring tools to proactively address performance issues and ensure system resilience, while providing expert production support
- Provide strategic guidance and mentorship to team members on data transformation initiatives, championing data utility within the enterprise.
Requirements
- Bachelor’s degree or foreign equivalent in Mechanical Engineering, Electrical Engineering, Electronics Engineering, Computer Engineering, Aerospace Engineering, Automotive Engineering, or related field
- 5 years of progressive, post-baccalaureate experience in the job offered or related occupation
- 5 years of experience with the following skill is required: Designing and implementing large-scale data warehouses, ETL processes and complex SQL development
- 3 years of experience with each of the following skills is required: Programming in Python and Java, Using SQL, Analytical tools (Looker studio, Qliksense, BigQuery, and Alteryx), and DevOps tools (GitHub), Writing sophisticated SQL queries to extract and transform big data
- 2 years of experience with each of the following skills is required: Using Cloud platform, with a focus on managing cloud infrastructure and deploying production-scale solutions, Building dashboards using Qliksense and Lookerstudio and providing analytical insights with the data.
Benefits
- Immediate medical, dental, and prescription drug coverage
- Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up child care and more
- Vehicle discount program for employees and family members, and management leases
- Tuition assistance
- Established and active employee resource groups
- Paid time off for individual and team community service
- A generous schedule of paid holidays, including the week between Christmas and New Year's Day
- Paid time off and the option to purchase additional vacation time.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Analytics Engineer Associate at Teragonia designing and developing advanced analytics for private equity clients. Collaborating closely with clients and team to deliver tailored solutions.
Engagement Manager leading a team of analytics engineers to develop advanced analytics solutions for private equity clients in Toronto. Driving value creation through innovative insights and strategic analytics.
Senior Analytics Engineer developing scalable analytics models for real - world health data. Leading strategic initiatives and mentoring teams in a hybrid environment in London.
Analytics Engineer making data an operational tool at Newsec's Göteborg office. Strengthening the use of data and collaborating closely with Product Managers.
Join knowmad mood as a Data Engineer / Analytics Engineer focusing on data processing for hotel business analytics. Collaborate within a mature data team on technological modernization strategies.
Senior Analytics Engineer at Simply Business designing data models and building infrastructure for AI and ML enhancement. Collaborating with engineering and product teams to integrate new data sources.
Data Analytics Engineer focused on building ETL pipelines and data models at Prodigy Finance. Working with AWS Redshift, Python, and SQL in a hybrid team.
Data Analytics Engineer driving innovative data solutions at Northern Trust. Collaborating on architecture, client satisfaction, and technology transformations with a global team in a hybrid role.
Analytics Engineer transforming raw data into actionable insights to support decision - making in data marketing. Working with various data technologies in a hybrid internship role in Paris.