Data Engineer

Job Description:

LatentView Analytics is a leading global analytics and decision sciences provider, delivering solutions that help companies drive digital transformation and use data to gain a competitive advantage. With analytics solutions that provide a 360-degree view of the digital consumer, fuel machine learning capabilities, and support artificial intelligence initiatives., LatentView Analytics enables leading global brands to predict new revenue streams, anticipate product trends and popularity, improve customer retention rates, optimize investment decisions, and turn unstructured data into valuable business assets.

Experience: 7 to 10 years

Job Summary:

• Design, build, and optimize scalable data pipelines and ETL/ELT workflows using Databricks and PySpark
• Develop efficient data models and queries using SQL to support analytics and downstream applications
• Write clean, maintainable Python code for data processing, automation, and orchestration
• Ensure data quality, reliability, and performance through monitoring, testing, and optimization
• Collaborate with data scientists, analysts, and stakeholders to deliver data solutions aligned with business needs

Job responsibility:

• Build, maintain, and optimize scalable data pipelines using Databricks and PySpark
• Develop and tune SQL queries and data models to support reporting, analytics, and BI use cases
• Write robust Python code for data processing, orchestration, and automation
• Ensure data accuracy, quality, and reliability through validation, monitoring, and troubleshooting
• Collaborate with data scientists, analysts, and business teams to translate requirements into data solutions

At LatentView Analytics, we value a diverse, inclusive workforce and provide equal employment opportunities for all applicants and employees. All qualified applicants for employment will be considered without regard to an individual's race, colour, sex, gender identity, gender expression, religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws.