Analytics Engineer

• Design, implement, and operate scalable, cloud-native data pipelines on AWS
• Build and maintain ETL/ELT workflows, data lakes, and data mesh components
• Develop and optimize PySpark-based data processing jobs for large-scale and time-series datasets
• Design and manage data schemas, tables, and metadata using AWS Glue Data Catalog and Lake Formation
• Ensure efficient, reliable, and secure data processing across the platform
• Integrate external and internal systems via APIs (e.g., AWS API Gateway)
• Contribute to CI/CD pipelines and automated deployment processes
• Collaborate closely with data platform, analytics, and product teams in an agile (Scrum) environment

Data Analytics Engineer

• Acquire data from various data sources (APIs, relational and non-relational databases, queues) by developing scripts, workflows, and ETL pipelines
• Support ETL processes and data transformations to address stakeholder requests
• Maintain existing data models’ integrity and structure on the data warehouse
• Use GitLab for version control, managing branches, creating merge requests, and conducting peer code reviews
• Monitor and analyze pipeline performance and data accuracy
• Participate in code reviews and writing unit tests to ensure high-quality solutions
• Ensure all pipelines and processes comply with internal guidelines and requirements
• Closely work with data analytics team to help them automate repetitive tasks, improve efficiency and consistency, also create ad-hoc datasets
• Discover opportunities for data acquisition, diagnostics, mapping, and correction
• Recommend and validate different ways to improve data reliability, efficiency, and quality
• Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes

Junior - Mid Analytics Engineer, Infrastructure DA team

• Design, build, and maintain robust data models using frameworks like dbt
• Act as the connective tissue between Data Engineering and Business Intelligence
• Bring software engineering rigor to the data stack
• Develop and automate testing suites to monitor data quality
• Fine-tune data structures for performance in BI tools
• Partner with stakeholders to define key metrics and translate complex business requirements into scalable technical architectures

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Data Analytics Engineer

Junior - Mid Analytics Engineer, Infrastructure DA team

Analytics Engineer