ETL Support Phoenix - AZ - Arizona

Designation ETL Developer

Job Description (Posting). Phoenix, AZ ( Onsite from day 1 )

6 Months contract to hire role.

Job Description:

Design, develop, and maintain ETL processes using Informatica and Fivetran

Create and optimize complex mappings, workflows, and sessions for data extraction, transformation, and loading

Responsible for production support of big data platform and on-call

Expertise in performance tuning of real-time, near-real-time or batch data integration code

Design responsibility for Data Lake, Master Data Management, Data Warehouse, and Distributed Master Data

Includes implementing Data extraction, parsing, and massaging of large disparate data sets using multiple platforms and technologies to enable complex aggregations, data analytics, and visualization

Build ELs and other high-bandwidth services to help discover problems early

Implement data quality checks and data cleansing processes

Collaborate with data architects, business analysts, and end-users to gather requirements and translate them into technical solutions

Perform data profiling and analysis to ensure data integrity and quality

Develop and maintain documentation for ETL processes and data flows

Troubleshoot and resolve data integration issues

Optimize ETL performance and ensure scalability of data integration processes

Participate in code reviews and implement best practices for ETL development

Experience 5-9 Years

Qualification B-Tech

Skill (Primary) Data Fabric-ETL-Informatica

6 Months contract to hire role.

Job Description:

Design, develop, and maintain ETL processes using Informatica and Fivetran

Create and optimize complex mappings, workflows, and sessions for data extraction, transformation, and loading

Responsible for production support of big data platform and on-call

Expertise in performance tuning of real-time, near-real-time or batch data integration code

Design responsibility for Data Lake, Master Data Management, Data Warehouse, and Distributed Master Data

Includes implementing Data extraction, parsing, and massaging of large disparate data sets using multiple platforms and technologies to enable complex aggregations, data analytics, and visualization

Build ELs and other high-bandwidth services to help discover problems early

Implement data quality checks and data cleansing processes

Collaborate with data architects, business analysts, and end-users to gather requirements and translate them into technical solutions

Perform data profiling and analysis to ensure data integrity and quality

Develop and maintain documentation for ETL processes and data flows

Troubleshoot and resolve data integration issues

Optimize ETL performance and ensure scalability of data integration processes

Participate in code reviews and implement best practices for ETL development

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