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
- Data & Analytics Engineer working with stakeholders to maintain the Data platform. Collaborating with team members to ensure efficient access to organizational data.
Responsibilities
- Perform end to end automation of ETL/ELT process for various datasets that are being ingested into the Data Platform.
- Design, develop and maintain data ingestion pipelines.
- Create Spark jobs for data transformation and aggregation.
- Develop, enhance, and manage conceptual, enterprise logical (LDM) and physical data models (PDM) to ensure the information models can meet end user and developer needs.
- Understand and apply logical entity-relational design concepts.
- Recommend opportunities for reuse of data models in the new environments.
- Develop dimensional models and views needed for data analytics and reporting.
- Optimize and update logical and physical data models to support new and existing projects.
- Leads the development of creative new data integrations, modifications to existing software, and/or makes decisions regarding integrating software applications data in accordance with agreed upon specifications.
- Serve as a subject matter expert of our solutions and address to a business or technical audience.
- Collaborate with Analysts, Architects and Developers to establish and maintain the Data Platform framework.
- Prepare and maintain technical documentation.
Requirements
- Bachelor's degree in a technical field such as computer science, computer engineering or related field
- 4+ years' experience with Data Modelling.
- 4+ years’ experience with Python programming language
- 4+ years’ experience with Apache Spark streaming and batch framework
- 4+ years’ experience developing data lake
- 2+ years experience of Databricks
- Knowledge of Microsoft Azure Platform
- Strong understanding and experience of relational/non-relational database, including design and implementation
- Strong communication skills required to communicate effectively with business and other stake holders
- Strong Analytical and Problem-Solving Skills
- Excellent Time Management Skills
Job title
Job type
Experience level
Salary
Not specified
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.