ShiftCode Analytics
Interview: Onsite (F2F)
Visa: USC and GC
Onsite 4 days a week, 1 day remote (need local)
JD: Required Skills & Experience - 5+ years ETL & data engineering - Very strong SQL skills - AWS - Tableau - Experience integrating AI into cloud infrastructures like AWS
Nice to Have Skills & Experience - Industry background in cable/telecom - Python - Spark
Job Descriptio n Our client is looking for an ETL Developer with around five years of professional experience with a desire to move into a lead/management role. Soft skills are equally as important as technical skills for this role. We're looking for a candidate to start in an individual contributor role (80% focused on ETL development, 20% on data visualization) that will progress into a manager level position. Ideal candidates are willing to roll up their sleeves to figure out how to solve problems to bolster a productive and positive environment. An innovative and creative mindset with effective communication is required.
On a day-to-day basis, tasks will include but are not limited to: - Design, develop and support ETL data pipelines solutions primary in AWS environment. - Design, develop, and maintain scaled ETL process to deliver meaningful insights from large and complicated data sets. - Collaborate with Engineering teams to discovery and leverage new data being introduced into the environment. - Support existing ETL processes written in SQL, troubleshoot and resolve production issues. - Hands-on experience with orchestration of data pipelines. - Create and maintain report specifications and process documentations as part of the required data deliverables. - Troubleshoot and resolve data, system, and performance issues. - Communicating with business partners, other technical teams and management to collect requirements, articulate data deliverables, and provide technical designs. - Leverage both qualitative and quantitative data to get a complete picture of the customer experience. - Work closely with the development team to prioritize features, refine requirements, and ensure end-to-end delivery. - Collect, analyze, and interpret complex data sets from various sources, including product usage analytics. - Develop and execute comprehensive test plans to validate functionality and quality. - Oversee data architecture and ensure scalability and performance.
JD: Required Skills & Experience - 5+ years ETL & data engineering - Very strong SQL skills - AWS - Tableau - Experience integrating AI into cloud infrastructures like AWS
Nice to Have Skills & Experience - Industry background in cable/telecom - Python - Spark
Job Descriptio n Our client is looking for an ETL Developer with around five years of professional experience with a desire to move into a lead/management role. Soft skills are equally as important as technical skills for this role. We're looking for a candidate to start in an individual contributor role (80% focused on ETL development, 20% on data visualization) that will progress into a manager level position. Ideal candidates are willing to roll up their sleeves to figure out how to solve problems to bolster a productive and positive environment. An innovative and creative mindset with effective communication is required.
On a day-to-day basis, tasks will include but are not limited to: - Design, develop and support ETL data pipelines solutions primary in AWS environment. - Design, develop, and maintain scaled ETL process to deliver meaningful insights from large and complicated data sets. - Collaborate with Engineering teams to discovery and leverage new data being introduced into the environment. - Support existing ETL processes written in SQL, troubleshoot and resolve production issues. - Hands-on experience with orchestration of data pipelines. - Create and maintain report specifications and process documentations as part of the required data deliverables. - Troubleshoot and resolve data, system, and performance issues. - Communicating with business partners, other technical teams and management to collect requirements, articulate data deliverables, and provide technical designs. - Leverage both qualitative and quantitative data to get a complete picture of the customer experience. - Work closely with the development team to prioritize features, refine requirements, and ensure end-to-end delivery. - Collect, analyze, and interpret complex data sets from various sources, including product usage analytics. - Develop and execute comprehensive test plans to validate functionality and quality. - Oversee data architecture and ensure scalability and performance.