Data Engineer

As a Data Engineer at our company, you will be responsible for the following duties and responsibilities: - Build and maintain batch data pipelines across the advanced analytics platform. - Design, develop, and orchestrate highly robust and scalable ETL/ELT pipelines. - Develop a highly optimal codebase and perform Spark optimizations for Big Data use cases. - Design, develop, and deploy optimal monitoring and testing strategies for the data products. - Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions. - Collaborate with data scientists to prepare data for model development and production. - Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports. Qualifications Required: - Expertise in SQL. - Familiarity with Github, VS Code, Linux CLI, File formats like CSV, and Parquet. - Familiarity with Data visualization tools, such as Tableau or Power BI. - Agile methodologies. - Preferable knowledge in Data bricks, Snowflake, DBT, Python, AWS. Join us at our company where you will have the opportunity to work with cutting-edge technologies and collaborate with a team of dedicated professionals passionate about data engineering. As a Data Engineer at our company, you will be responsible for the following duties and responsibilities: - Build and maintain batch data pipelines across the advanced analytics platform. - Design, develop, and orchestrate highly robust and scalable ETL/ELT pipelines. - Develop a highly optimal codebase and perform Spark optimizations for Big Data use cases. - Design, develop, and deploy optimal monitoring and testing strategies for the data products. - Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions. - Collaborate with data scientists to prepare data for model development and production. - Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports. Qualifications Required: - Expertise in SQL. - Familiarity with Github, VS Code, Linux CLI, File formats like CSV, and Parquet. - Familiarity with Data visualization tools, such as Tableau or Power BI. - Agile methodologies. - Preferable knowledge in Data bricks, Snowflake, DBT, Python, AWS. Join us at our company where you will have the opportunity to work with cutting-edge technologies and collaborate with a team of dedicated professionals passionate about data engineering.