Responsibilities:

Analyze product failure data and implement engineering solutions for post-release changes and customer-reported issues.

Support operational teams in identifying root causes and resolving product performance problems. Share failure data with quality assurance and other internal functions.

Ensure data integrity, accuracy, and quality within systems. Collaborate with data engineers, analysts, and stakeholders to identify data issues, develop improvement strategies, and implement governance practices.

Key Duties:

Resolve critical issues by developing and deploying hotfixes.

Maintain technical documentation and knowledge base.

Assist with minor updates/enhancements to improve user experience.

Generate user data reports for internal and external customers.

Monitor data quality metrics to identify inconsistencies and develop data cleaning processes for accuracy and completeness.

Investigate data quality issues, identify root causes, and recommend solutions.

Generate and document regular reports on data quality metrics, validation efforts, and improvements.

Support data validation, testing, and conduct audits to ensure compliance with standards and regulations.

Apply technical and quality improvements based on analysis results.

Ensure engineering changes are approved and documented for team use.

Provide technical leadership and define requirements for new tools to solve complex problems.

Initiate collaboration and build relationships across disciplines and teams.

Exercise judgment in selecting methods and evaluation criteria to achieve results.

Coordinate activities of team members and interact with management and senior customer personnel for cross-organizational coordination.

Lead projects and represent the organization in customer interactions.

Develop and implement design and process improvements for existing products and document changes.

Qualifications:

5+ year experience in Client facing Technical Production Support Experience

Experience with Cloud Data, Big Data, Apache Beam/Google Dataflow, Spark, ETL and Google Big Query, Google FireBase

Experience with Python, Java and Kotlin

Experience with API Testing and Postman.

Experience with Postgres SQL, MySQL

Experience with OAuth, JSOZ, SAML or with SSO in general

Knowledge of Android frameworks, and libraries and experience with Android debugging tools

Preferred Qualifications:

ETL expereince

Experience with Cloud platforms like GCP or AWS, Azure is plus

Exposure to Python, Gradle, Cloud Functions and Microservices architecture is a plus.

Experience with NoSQL databases, especially GCP Firebase/Firestore, Cloud Bigtable, or other cloud-native data stores is a plus.

Experience with BI tools like Google Data Studio, Looker, Tableau or Power-BI, or Sisense

GCP Certification

Experience in Google Cloud Platform (GCP)

Experience with Internet of Things (IoT)

Experience with MDMs such as SOTI, Work Space One, 42Gears or InTune