Senior Informatica Developer (Only W2)

Duration: 6 Months

Pay: 49/hr on w2

Work Mode: Hybrid (Twice a month in the office)

Interview: Candidates must be physically local at the time of submission and available for an in-person interview within one week of the application review.

Note: 

Local Only Candidates - Resumes must specify the current location of the candidate, all those who do not state current location will not be considered. - AS A REMINDER - Candidates must be local at time of submission, and available for in person interviews within 1 week of the posting close date. Candidates must also be able to start within 2 weeks of an offer being made. 

Hybrid, twice a month in the office. Local only to Phoenix. .

Position Overview

The Senior Data Integration (ETL) Developer is responsible for the end-to-end lifecycle, design, implementation, and management of enterprise ETL processes and database systems. In this role, you will collaborate with cross-functional business, development, and QA teams to ensure highly accurate data reporting, maintain system availability, troubleshoot production issues, and continuously optimize data workflows.

Additionally, you will serve as a technical mentor to junior developers on the team while partnering with business analysts and data architects to design scalable, secure solutions that support enterprise objectives.

Technical Skills & Qualifications

·        Data Integration Platforms: Strong experience with cloud-based data integration suites, specifically Informatica Intelligent Data Management Cloud (IDMC / IICS).

·        APIs: Experience developing and consuming REST APIs for data integration workflows.

·        Scripting: Proficiency in common scripting languages (e.g., Python, PowerShell, or Shell scripting) to automate data processes.

·        Database Connectors: Hands-on experience with database conversion, migration, and utilizing cloud platform and SQL connectors (such as Salesforce/SQL endpoints).

·        DevOps & Tools: Experience managing code and deployments using Azure DevOps.

·        Data Modeling & Warehousing: Advanced understanding of relational database design, dimensional data modeling (Star/Snowflake schemas), and modern Business Intelligence (BI) architecture.

·        Advanced SQL: Expert-level SQL writing, query tuning, and performance optimization skills.

·        Development Lifecycle: Comprehensive experience across all phases of the Software Development Life Cycle (SDLC) using Agile/Scrum methodologies.

·        Analytical Skills: Strong problem-solving capabilities with a keen attention to data quality, governance, and security standards.

·        Collaboration: Proven ability to translate complex business requirements into high-performance technical designs and mentor team members.