Verified Job
Work from home
Data ETL Engineer
Work from home
#517572
Remote / WFH
Job Description
This is a full-time work from home opportunity for a star BI data engineer from India.
IDT (www.idt.net) is a communications and financial services company founded in 1++0 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion.
We are looking for a Mid-level Business Intelligence Engineer to join our global team. If you are highly intelligent, motivated, ambitious, ready to learn and make a direct impact, this is your opportunity! The individual in this role will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives to meet organizational goals across many lines of business.
The interview process will be conducted in English
Responsibilities:
Develop, document, and test ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker)
Recommend process improvements to increase efficiency and reliability in ELT/ETL development
Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient ELT/ ETL processes
Collaborate with Quality Assurance resources to debug ELT/ETL development and ensure the timely delivery of products
Should be willing to explore and learn new technologies and concepts to provide the right kind of solution
Target and result oriented with strong end user focus
Effective oral and written communication skills with BI team and user community
Requirements:
5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics
Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing
Experience in data analysis, root cause analysis and proven problem solving and analytical thinking capabilities
Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources
Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc
Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning
Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies
Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment
Excellent English communication skills
Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
Pluses
Experience in developing ETL/ELT processes within Snowflake and implementing complex data transformations using built-in functions and SQL capabilities
Experience using Pentaho Data Integration (Kettle) / Ab Initio ETL tools for designing, developing, and optimizing data integration workflows.
Experience designing and implementing cloud-based ETL solutions using Azure Data Factory, DBT, AWS Glue, Lambda and open-source tools
Experience with reporting/visualization tools (e.g., Looker) and job scheduler software
Experience in Telecom, eCommerce, International Mobile Top-up
Education: BS/MS in computer science, Information Systems or a related technical field or equivalent industry expertise
Preferred Certification: AWS Solution Architect, AWS Cloud Data Engineer, Snowflake SnowPro Core
Please attach CV in English.
The interview process will be conducted in English.
Only accepting applicants from INDIA
IDT (www.idt.net) is a communications and financial services company founded in 1++0 and headquartered in New Jersey, US. Today it is an industry leader in prepaid communication and payment services and one of the world’s largest international voice carriers. We are listed on the NYSE, employ over 1500 people across 20+ countries, and have revenues in excess of $1.5 billion.
We are looking for a Mid-level Business Intelligence Engineer to join our global team. If you are highly intelligent, motivated, ambitious, ready to learn and make a direct impact, this is your opportunity! The individual in this role will perform data analysis, ELT/ETL design and support functions to deliver on strategic initiatives to meet organizational goals across many lines of business.
The interview process will be conducted in English
Responsibilities:
Develop, document, and test ELT/ETL solutions using industry standard tools (Snowflake, Denodo Data Virtualization, Looker)
Recommend process improvements to increase efficiency and reliability in ELT/ETL development
Extract data from multiple sources, integrate disparate data into a common data model, and integrate data into a target database, application, or file using efficient ELT/ ETL processes
Collaborate with Quality Assurance resources to debug ELT/ETL development and ensure the timely delivery of products
Should be willing to explore and learn new technologies and concepts to provide the right kind of solution
Target and result oriented with strong end user focus
Effective oral and written communication skills with BI team and user community
Requirements:
5+ years of experience in ETL/ELT design and development, integrating data from heterogeneous OLTP systems and API solutions, and building scalable data warehouse solutions to support business intelligence and analytics
Demonstrated experience in utilizing python for data engineering tasks, including transformation, advanced data manipulation, and large-scale data processing
Experience in data analysis, root cause analysis and proven problem solving and analytical thinking capabilities
Experience designing complex data pipelines extracting data from RDBMS, JSON, API and Flat file sources
Demonstrated expertise in SQL and PLSQL programming, with advanced mastery in Business Intelligence and data warehouse methodologies, along with hands-on experience in one or more relational database systems and cloud-based database services such as Oracle, MySQL, Amazon RDS, Snowflake, Amazon Redshift, etc
Proven ability to analyze and optimize poorly performing queries and ETL/ELT mappings, providing actionable recommendations for performance tuning
Understanding of software engineering principles and skills working on Unix/Linux/Windows Operating systems, and experience with Agile methodologies
Proficiency in version control systems, with experience in managing code repositories, branching, merging, and collaborating within a distributed development environment
Excellent English communication skills
Interest in business operations and comprehensive understanding of how robust BI systems drive corporate profitability by enabling data-driven decision-making and strategic insights.
Pluses
Experience in developing ETL/ELT processes within Snowflake and implementing complex data transformations using built-in functions and SQL capabilities
Experience using Pentaho Data Integration (Kettle) / Ab Initio ETL tools for designing, developing, and optimizing data integration workflows.
Experience designing and implementing cloud-based ETL solutions using Azure Data Factory, DBT, AWS Glue, Lambda and open-source tools
Experience with reporting/visualization tools (e.g., Looker) and job scheduler software
Experience in Telecom, eCommerce, International Mobile Top-up
Education: BS/MS in computer science, Information Systems or a related technical field or equivalent industry expertise
Preferred Certification: AWS Solution Architect, AWS Cloud Data Engineer, Snowflake SnowPro Core
Please attach CV in English.
The interview process will be conducted in English.
Only accepting applicants from INDIA
