Data Engineer (AWS, Snowflake, Pyspark, SQL)

Must Have Technical/Functional Skills Programming Languages: Proficient in SQL, Pyspark, Python Data Pipeline & ETL: Proficiency in building ETL/ELT pipelines using tools like Apache Airflow, AWS EC2, EMR, S3, dbt, Azure Data factory Database Management: Expertise in data warehousing solutions like Snowflake or Redshift, Databricks Cloud Platforms: Working knowledge of cloud providers (AWS) is essential. Data Modeling: Designing efficient schemas (star/snowflake) for dimensional modelling and se

Join our innovative team as a Data Engineer/Scientist, where you'll have the opportunity to design and maintain cutting-edge data infrastructure, ensuring seamless data accessibility for various applications. Responsibilities Design, develop, and maintain robust data infrastructure, including databases and data pipelines. Transform data from diverse sources into formats suitable for analysis and reporting. Ensure data security, efficiency, and accessibility for comprehensive analysis. Implemen

Key Responsibilities Investment Analytics & Tooling Design, build, and maintain Python-based analytics tools that support investment research, portfolio analysis, and operational workflows. Develop interactive analytics applications and dashboards using Python analytics frameworks (e.g., Plotly Dash or similar). Partner with investment and research stakeholders to translate analytical needs into scalable, production-ready solutions. Enable rapid experimentation while ensuring code quality, relia

Join our dynamic team as a Data Modeler, where you'll play a crucial role in designing and maintaining data infrastructure to ensure seamless data flow and accessibility for analytics and operational needs. Responsibilities Design and implement data models to accurately represent organizational data. Collaborate with stakeholders to gather requirements and ensure models meet business and technical needs. Maintain a central data dictionary and enforce data standards. Optimize data infrastructur