

Diverse Lynx
ETL Developer/ Informatica Admin / Database Admin
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an ETL Developer/Informatica Admin/Database Admin, offering a contract length of "X months" at a pay rate of "$X/hour." Key requirements include 5+ years in ETL development, proficiency in SQL, and experience with cloud data platforms.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
April 28, 2026
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Wayne, PA
-
π§ - Skills detailed
#Scripting #dbt (data build tool) #Azure #Data Engineering #Data Pipeline #Automation #Talend #Cloud #Data Modeling #Code Reviews #Matillion #Redshift #Documentation #Agile #GIT #DevOps #Snowflake #Python #Computer Science #SQL (Structured Query Language) #Synapse #"ETL (Extract #Transform #Load)" #Informatica #Monitoring #Version Control #Storage #Scala #Data Architecture
Role description
Mandatory Skills: Talend DI
Responsibilities:
β’ Project Execution The senior ETL developer should be able to translate business requirements into technical specifications.
β’ Ensure timely and high-quality execution of data projects.
β’ Design, build, and maintain scalable data pipelines and ETL processes.
β’ Develop and optimize data models for analytics and reporting.
β’ Stay current with emerging technologies and recommend adoption where appropriate.
β’ Conduct code reviews, enforce best practices, and ensure adherence to corporate standards.
β’ Collaboration & Advisory Partner with data operation engineer, system analysts, and data architect to design scalable data solutions.
β’ Provide guidance on best practices for data architecture, storage, and processing.
β’ Contribute to documentation, standards, and knowledge sharing across the team.
Required:
β’ Bachelorβs or masterβs degree in computer science, Data Engineering, or related field 5+ years of experience in ETL development
β’ Experience managing offshore or distributed teams is strongly preferred
β’ Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Matillion, Informatica, custom Python scripts)
β’ Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
β’ Knowledge of CI/CD practices and version control (e.g., Git)
β’ Strong understanding of ETL/ELT processes, data warehousing, and data modeling
β’ Strong problem-solving skills and a proactive approach to identifying and resolving issues
β’ Excellent communication skills to manage cross-functional and cross-cultural teams
β’ Knowledge of Python or other scripting languages for automation
β’ Familiarity with monitoring tools
β’ Experience working in Agile or DevOps environments
Mandatory Skills: Talend DI
Responsibilities:
β’ Project Execution The senior ETL developer should be able to translate business requirements into technical specifications.
β’ Ensure timely and high-quality execution of data projects.
β’ Design, build, and maintain scalable data pipelines and ETL processes.
β’ Develop and optimize data models for analytics and reporting.
β’ Stay current with emerging technologies and recommend adoption where appropriate.
β’ Conduct code reviews, enforce best practices, and ensure adherence to corporate standards.
β’ Collaboration & Advisory Partner with data operation engineer, system analysts, and data architect to design scalable data solutions.
β’ Provide guidance on best practices for data architecture, storage, and processing.
β’ Contribute to documentation, standards, and knowledge sharing across the team.
Required:
β’ Bachelorβs or masterβs degree in computer science, Data Engineering, or related field 5+ years of experience in ETL development
β’ Experience managing offshore or distributed teams is strongly preferred
β’ Strong proficiency in SQL and experience with ETL/ELT tools (e.g., DBT, Talend, Matillion, Informatica, custom Python scripts)
β’ Hands-on experience with cloud data platforms (e.g., Snowflake, Azure Synapse, Redshift)
β’ Knowledge of CI/CD practices and version control (e.g., Git)
β’ Strong understanding of ETL/ELT processes, data warehousing, and data modeling
β’ Strong problem-solving skills and a proactive approach to identifying and resolving issues
β’ Excellent communication skills to manage cross-functional and cross-cultural teams
β’ Knowledge of Python or other scripting languages for automation
β’ Familiarity with monitoring tools
β’ Experience working in Agile or DevOps environments






