Tiger Analytics
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership have been recognized by market research firms such as Forrester and Gartner. We are looking for top talent as we continue to build the best global analytics consulting team in the world.
We are seeking a skilled
Data Engineer
to join our team. The ideal candidate will have a strong background in data engineering, cloud-based solutions, and experience building and managing scalable data pipelines on AWS. The Data Engineer will collaborate with cross-functional teams to develop, maintain, and optimize data solutions supporting critical business insights. We seek someone who can bring innovative ideas and implement positive change to advance the company's data analytics capabilities. Requirements 3-5 years of experience in data engineering with a focus on AWS cloud solutions 3+ years of experience designing, developing, and maintaining scalable and secure ETL/ELT pipelines using AWS services Proficiency in creating and optimizing complex data processing and transformation pipelines using Python Hands-on experience with AWS services like Glue, Lambda, S3, Redshift, and Athena Strong SQL skills for querying and managing relational databases Experience with big data tools such as Apache Spark, Hadoop, or EMR Knowledge of best practices for cloud-based data architecture and pipeline management Understanding of data modeling concepts and best practices Familiarity with CI/CD pipelines and version control tools like Git AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect) preferred
Benefits
This position offers significant career development opportunities within a fast-growing, entrepreneurial environment with high levels of individual responsibility. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industry: IT Services and IT Consulting
Referrals can double your chances of interview success at Tiger Analytics. Get notified about new Data Engineer opportunities in
Charlotte, NC . #J-18808-Ljbffr
Data Engineer
to join our team. The ideal candidate will have a strong background in data engineering, cloud-based solutions, and experience building and managing scalable data pipelines on AWS. The Data Engineer will collaborate with cross-functional teams to develop, maintain, and optimize data solutions supporting critical business insights. We seek someone who can bring innovative ideas and implement positive change to advance the company's data analytics capabilities. Requirements 3-5 years of experience in data engineering with a focus on AWS cloud solutions 3+ years of experience designing, developing, and maintaining scalable and secure ETL/ELT pipelines using AWS services Proficiency in creating and optimizing complex data processing and transformation pipelines using Python Hands-on experience with AWS services like Glue, Lambda, S3, Redshift, and Athena Strong SQL skills for querying and managing relational databases Experience with big data tools such as Apache Spark, Hadoop, or EMR Knowledge of best practices for cloud-based data architecture and pipeline management Understanding of data modeling concepts and best practices Familiarity with CI/CD pipelines and version control tools like Git AWS certifications (e.g., AWS Certified Data Analytics, Solutions Architect) preferred
Benefits
This position offers significant career development opportunities within a fast-growing, entrepreneurial environment with high levels of individual responsibility. Additional Details
Seniority level: Mid-Senior level Employment type: Full-time Job function: Information Technology Industry: IT Services and IT Consulting
Referrals can double your chances of interview success at Tiger Analytics. Get notified about new Data Engineer opportunities in
Charlotte, NC . #J-18808-Ljbffr