Data Engineer

As a data engineer at UsefulBI, you will play a crucial role in generating powerful business insights from large datasets to drive needle-moving impacts through statistical analysis. Your responsibilities will include: - Creating and maintaining optimal data pipeline architecture. - Assembling large, complex data sets to meet functional/non-functional business requirements. - Identifying, designing, and implementing process improvements by automating manual processes. - Building infrastructure for optimal extraction, transformation, and loading of data from various sources using SQL and AWS big data technologies. - Developing analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics. - Collaborating with stakeholders across different teams to address data-related technical issues and support their data infrastructure needs. Qualifications required for this role include: - Minimum 5-10 years of experience in Data Engineering. - Proficiency in Python, Pyspark, and Databricks. - Experience with AWS/Azure. - Strong knowledge of statistics, R and SAS languages, machine learning techniques, mathematics, and SQL databases. - Expertise in managing, manipulating, and analyzing very large datasets. UsefulBI is a leading AI-driven data solutions provider that specializes in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. They aim to help businesses translate complex data into actionable insights through innovative products and services. As a data engineer at UsefulBI, you will play a crucial role in generating powerful business insights from large datasets to drive needle-moving impacts through statistical analysis. Your responsibilities will include: - Creating and maintaining optimal data pipeline architecture. - Assembling large, complex data sets to meet functional/non-functional business requirements. - Identifying, designing, and implementing process improvements by automating manual processes. - Building infrastructure for optimal extraction, transformation, and loading of data from various sources using SQL and AWS big data technologies. - Developing analytics tools to provide actionable insights into customer acquisition, operational efficiency, and other key business metrics. - Collaborating with stakeholders across different teams to address data-related technical issues and support their data infrastructure needs. Qualifications required for this role include: - Minimum 5-10 years of experience in Data Engineering. - Proficiency in Python, Pyspark, and Databricks. - Experience with AWS/Azure. - Strong knowledge of statistics, R and SAS languages, machine learning techniques, mathematics, and SQL databases. - Expertise in managing, manipulating, and analyzing very large datasets. UsefulBI is a leading AI-driven data solutions provider that specializes in data engineering, cloud transformations, and AI-powered analytics for Fortune 500 companies. They aim to help businesses translate complex data into actionable insights through innovative products and services.