Lead Analytics Engineer

EXL; United States; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading data engineering firm is seeking a skilled Data Engineer to design and maintain scalable data pipelines and ETL/ELT workflows. In this hands-on role, you will focus on improving data infrastructure to support business intelligence and analytics initiatives. Candidates should have 5-8 years of relevant experience, with a strong background in building data models and ensuring data quality. The position is remote, offering flexibility and the opportunity to work on cutting-edge data solutions.

Qualifications

• 5-8 years of experience in data engineering or related field.
• Strong understanding of data pipeline architecture.
• Experience with data quality checks and monitoring.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Develop and optimize data processing pipelines for analytics.
• Collaborate with stakeholders to deliver data solutions.

Skills

Designing data pipelines

ETL/ELT workflows

Data processing pipelines

Data warehouse structures

Data quality checks

Query optimization

Education

Bachelor's/Master's in Engineering

Job description

• Experience (In Years) 6-9
• Job Location Remote

Job Description

This is a hands-on engineering role focused on designing efficient data pipelines, improving data infrastructure, and enabling teams to leverage data effectively.

Responsibilities

• Design, build, and maintain scalable data pipelines and ETL/ELT workflows to ingest and transform data from multiple sources
• Develop and optimize batch and near real-time data processing pipelines for analytics and reporting
• Build and maintain data warehouse and data lake structures to support business intelligence and analytics use cases
• Implement and maintain data models that support efficient querying and reporting
• Improve performance and scalability of data systems through query optimization, indexing, and partitioning strategies
• Implement data quality checks, monitoring, and logging to ensure reliability of data pipelines
• Exposure to AI initiatives and experience building data pipelines supporting AI workflows
• Work with data architects and engineering teams to implement scalable data platform designs
• Collaborate with analysts, BI developers, and business stakeholders to deliver data solutions that support business needs
• Maintain documentation for data pipelines, data models, and data workflows

Qualifications

Bachelor\'s/Master\'s in Engineering 5-8 years