Data Etl Engineer

TL;DR

Data Etl Engineer (Data Analytics): Develop and optimize ELT/ETL solutions and data pipelines for business intelligence and analytics with an accent on data integration, performance tuning, and scalable data warehouse solutions. Focus on designing complex data transformations, debugging ETL processes, and collaborating with QA to ensure timely delivery.

Location: Only accepting applicants from INDIA (Pune / Bangalore)

Company

hirify.global is a communications and financial services company, a leader in prepaid communication and payment services, headquartered in New Jersey, US, with over 1500 employees worldwide.

What you will do

• Develop, document, and test ELT/ETL solutions using tools like Snowflake, Denodo, and Looker.
• Extract and integrate data from multiple sources into common data models and target databases.
• Recommend and implement process improvements for ELT/ETL efficiency and reliability.
• Collaborate with QA to debug and ensure timely delivery of ETL products.
• Continuously learn new technologies and provide effective solutions.
• Communicate effectively with BI team and user community.

Requirements

• Only applicants from India are accepted.
• 5+ years experience in ETL/ELT design and development with heterogeneous data sources.
• Proficiency in Python for data engineering and advanced data manipulation.
• Strong SQL and PLSQL skills with experience in relational and cloud databases.
• Experience with Unix/Linux/Windows OS and Agile methodologies.
• Excellent English communication skills; interview process conducted in English.

Nice to have

• Experience with Snowflake ELT processes and complex SQL transformations.
• Familiarity with Pentaho, Ab Initio, Azure Data Factory, DBT, AWS Glue, Lambda.
• Experience with reporting tools like Looker and job schedulers.
• Background in Telecom, eCommerce, or International Mobile Top-up.
• Relevant technical degrees or certifications (AWS, Snowflake).