Data Engineer

In NFQ Advisory we are looking for a Data Engineer with experience in financial environments and passion for transforming data into high-impact solutions. If you have experience building data pipelines, working with Big Data technologies and are interested in participating in strategic projects for banking institutions, this opportunity may be for you. What will you do? • Design and maintain ETL processes • Transform business logic from Python/Pandas to distributed environments with PySpark • Work closely with the data science team to develop and implement data solutions that meet business needs • Collaborate with stakeholders to identify and prioritize project requirements • Develop and maintain data pipelines using technologies such as Apache Beam, Apache Spark, and AWS Glue • Design and implement data warehouses and data lakes using technologies such as Amazon Redshift, Google BigQuery, and Azure Synapse Analytics • Work with the data engineering team to design and implement scalable and efficient data processing architectures • Participate in code reviews and contribute to the development of open-source projects • Stay up-to-date with industry trends and best practices in data engineering • Develop and maintain technical documentation for data pipelines and solutions • Collaborate with cross-functional teams to identify and prioritize project requirements • Develop and maintain dashboards and reports using technologies such as Tableau, Power BI, or D3.js • Participate in the development of data governance policies and procedures • Stay up-to-date with industry trends and best practices in data engineering • Develop and maintain technical documentation for data pipelines and solutions • Collaborate with cross-functional teams to identify and prioritize project requirements • Develop and maintain dashboards and reports using technologies such as Tableau, Power BI, or D3.js