Test Automation Consultant Job Oakland area,California USA,IT/Tech

Technical Skills 2

Technology|ETL & Data Quality|ETL & Data Quality - ALL

Salary min

85375

Salary max

121938

Overview

The Infosys Healthcare unit is dedicated to transforming the healthcare industry by leveraging cutting-edge AI-driven solutions to simplify complexities and enhance patient experiences. We focus on creating connected ecosystems, optimizing operations, and delivering superior care across all touchpoints. Join us to be a part of a team that is at the forefront of healthcare innovation, driving down costs while improving patient outcomes.

In

the assigned

Job Role of Technology Consultant 2, your Area Of Responsibility will be as below:

Contribute to the requirements elicitation process by documenting assigned parts of business requirements, in line with guidance provided
Facilitate software application design discussions, and document design decisions to guide the technical team towards building software solutions
Participate in coding and integrate new features or updates into existing applications, with a focus on maintaining system stability
Conduct code reviews, do changes to the codebase and maintain code repositories
Implement test strategies, analyse results, and coordinate bug fixes to uphold the software quality standards
Develop user training programs, documentation, and support frameworks to ensure a smooth transition to new software applications
Actively participate in resolving production issues and recommend preventive strategies to enhance system reliability
Maintain detailed records of code, testing techniques, and support activities to enrich the knowledge base and assist other similar projects

Your contribution to the team:

A collaborative spirit and excellent communication skills.
The ability to handle end to end SDLC phases from requirement gathering to implementation.
A knack for translating complex requirements into actionable development tasks.
A passion for design and hands-on coding experience
A proactive approach to testing, troubleshooting, and refining our applications.
The ability to work with cross-functional teams and do software integration.

Required Skill and Experience

Experience in Big data testing and data quality validation.
Experience in source-to-target validation and reconciliation.
Experience in ETL and data quality pipeline testing.
Experience in data quality rule definition and threshold validation.
Experience in reporting and BI validation.
Experience in data defect management.
Experience in advanced SQL including joins, window functions, aggregations, and reconciliation queries.
Experience in Python validation scripting.
Experience in PySpark.
Experience in Pandas.
Experience in dimensional modeling concepts.
Experience in slowly changing dimensions (SCD).
Experience in data pipeline and orchestration concepts.
Experience in Databricks, Snowflake, Redshift, or Synapse.
Experience in Power BI, Tableau, or Cognos.
Experience in Informatica, Talend, Azure Data Factory, or Airflow.
Experience in Jira and qTest/ALM.
Experience in data quality frameworks including Great Expectations or dbt tests.
Experience in data masking and de-identification validation.
Experience in Healthcare payer data validation.
Experience in Claims (837/835) validation.
Experience in Enrollment and eligibility (834) validation.
Experience in Provider, member, encounter, HEDIS, risk adjustment, and regulatory reporting validation.

Preferred Skill and Experience

Experience in Healthcare payer platforms.
Experience in HL7.
Experience in FHIR.
Experience in C-CDA.
Experience in Cloud data platforms.
Experience in data warehouse modernization.
Experience in automated data validation frameworks.
Experience in data quality automation at scale.
Experience in regulatory reporting validation.
Experience in quality…