Job Description

1) data scientist:

Key Responsibilities:

o Develop and implement linear and non-linear regression models.

o Work on yield management and price prediction models.

o Create data visualizations to support data analytics.

o Perform data analysis and provide insights.o Collaborate with internal teams to ensure project success.

o Document and communicate data modeling results effectively to technical and non[1]technical stakeholders

o Document project approaches and methods.

o Report on weekly progress status

2) Job Title Data Analyst -Contract position in Oakland, CA (Hybrid) 6months , can be extended based on performance

Job Responsibilities

Partner with lead Program Manager to implement Data Quality improvement programs to systematically inventory PG&E's critical electric asset data, capture metadata, measure data quality, and drive the execution of high-priority data improvements.

Build strong relationships with business data stewards, asset data system specialists, IT Foundry ontology team, IT data quality team and IT architecture team to facilitate program implementation.

For critical datasets, lead the documentation of metadata in Collibra, integration of data into Foundry, development of data quality rules and guide development of dashboards to monitor data quality

Measure and report KPIs to evaluate ADQ program progress and status for clients and senior leadership

Perform triage and remediation on data quality rule errors to ensure rules are functional.

Continuously monitor data quality rule performance to ensure that rules are functional and triage/remediate data quality rule errors when they arise.

Partner with Business Data Stewards to update, modify or add data quality rules.

Ensure data quality action plans are implemented where data fails to meet established data governance standards.

Advise Program Manager on strategy and roadmap to reflect continuous improvement and expansion into data types beyond Asset Registry and Asset Condition data (e.g., event data)

Qualifications

Minimum

BA/BS Degree in Data Science, Computer Science, Engineering or other related field or equivalent work experience

Ten (10) years of related work experience

Excellent communication skills.

Technical Skills SQL, MS Excel, Python, Foundry, Informatica, PowerBI, PowerApps, SharePoint Online etc.

Desired

Experience in regulated electric or gas utility asset management and/or operations

Data management and data quality tool experience

Detail-oriented with ability to focus on managing multiple reports and processes

Even-tempered, manages conflicts in a positive manner, and comfortable interacting with individuals at all levels

Excellent organizational, verbal, and written communication skills with proven ability to establish and cultivate relationships with vendors and business SMEs.

Project management / implementation of data management policies and standards.

Experience with relevant project management tools and methodologies (Agile, Design thinking, Kanban, etc.).

Demonstrated executive engagement and presentation skills.

3)IDMC:

IDMC is mandatory

We are seeking a highly skilled and experienced Informatica Architect to join our dynamic team. The ideal candidate will have a strong background in Informatica , Informatica Data Management Cloud (IDMC) , and Collibra to design, develop, and implement robust data integration, governance, and management solutions. This role requires an individual who can take ownership of the data architecture strategy, ensure seamless integration, and maintain data quality across platforms.

Responsibilities:

• Data Architecture and Design : Design and implement scalable and efficient data integration solutions using Informatica PowerCenter , IDMC (Informatica Data Management Cloud) , and other Informatica tools.
• IDMC Management : Implement and manage data management workflows within the Informatica Data Management Cloud (IDMC) platform. Work on cloud data migration and ensure smooth deployment across cloud environments.
• Collibra Integration : Develop and implement data governance processes using Collibra for data quality, lineage, and metadata management. Establish governance workflows and ensure compliance with data policies.
• ETL Development , Data Governance and Cloud Data Architecture.
• Collaboration & Leadership : Collaborate with data engineers, business analysts, and other stakeholders to understand data requirements and implement solutions that meet business needs. Provide leadership and mentoring to junior team members.
• Performance Tuning & Optimization : Monitor and optimize performance of ETL processes, ensuring minimal downtime and high data throughput.
• Documentation & Best Practices : Create and maintain technical documentation, including architecture diagrams, data models, and workflow designs. Establish and follow best practices for ETL processes and data management.

Required Skills & Qualifications:

• Informatica PowerCenter : Proven expertise in designing and implementing ETL solutions using Informatica PowerCenter .
• Informatica Cloud (IDMC) : Hands-on experience with Informatica Data Management Cloud (IDMC) , specifically for cloud data integration, management, and migration.
• Collibra : Strong experience with Collibra for data governance, metadata management, and data lineage.
• Data Architecture : Deep understanding of data architecture principles, including data modeling, data warehousing, and ETL processes.
• Cloud Platforms : Proficiency in cloud technologies (AWS, Azure, GCP) and integration of Informatica products with cloud-based solutions.
• Data Governance & Compliance : Knowledge of data governance frameworks and best practices in ensuring data quality, privacy, and security.
• Programming & Scripting : Strong skills in SQL, scripting (Python, Shell), and familiarity with database technologies (SQL Server, Oracle, etc.).
• Leadership & Communication : Ability to lead projects, work cross-functionally with business and technical teams, and communicate effectively with stakeholders.
• Problem-Solving : Strong troubleshooting skills and the ability to optimize data pipelines and ETL processes.

Preferred Qualifications:

• Certifications in Informatica and/or Collibra .
• Experience in agile project management methodologies.
• Familiarity with additional data management or cloud tools is a plus (e.g., Apache Kafka, Hadoop, Spark).

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