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
Junior Analytics Engineer at Ninox developing dashboards and improving data models. Collaborate across teams to support data - driven business decisions.
Senior Analytics Engineer developing scalable data products for finance at Zopa. Evolving technical direction and mentoring engineers in high - impact modeling initiatives.
Lead Analytics Engineer at Perk enhancing data capabilities for a travel management platform. Drive team to implement standards and ensure data solutions are scalable and cost - efficient.
Analytics Engineer responsible for deploying data models and transforming datasets at Moneyfarm. Collaborating across teams in a fintech environment to enhance data - driven decision - making.
Database Administrator & ETL Developer optimizing data infrastructure for eSimplicity to support government agencies. Responsible for database reliability, performance, and developing ETL pipelines in a hybrid work environment.
Analytics Engineer in FinTech Data Science team ensuring data accuracy and usability. Transforming raw data into reliable models for business monitoring and insights.
Analytics Engineer developing and maintaining data models to support strategic decisions in Hostinger. Revolutionizing data use to enhance business insights and accessibility.
Data Engineer at Regions Bank focusing on designing and maintaining data structures for analytics. Collaborating with technical teams to deliver data - driven business value and products.
Analytics Engineer shaping Statista's reporting platform for data - driven decision - making. Focusing on BI tools like Power BI and improving report usability and transparency.
Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision - making through a data - driven culture. Guiding a team to innovate and implement scalable data solutions.