11+ PSSE Jobs in Bangalore (Bengaluru) | PSSE Job openings in Bangalore (Bengaluru)

• Power System Studies – Power Flow, Short Circuit, Transient Stability

• Transmission & Distribution System Planning

• Experience with tools like PSS/E, PSCAD, DigSILENT, ETAP, PSLF, CYME, MiPower

• Knowledge of grid stability, protection coordination, load forecasting

• Exposure to Python / Visual Basic scripting is a plus

 Opportunity to work on large-scale global energy projects and collaborate with international teams.

Required Skills:

· 8+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

• Experience in Core Java, CXF, Spring. 
• Experience in spring boot, microservices. 
• Extensive experience in developing enterprise-scale n-tier applications for the financial domain. Should possess good architectural knowledge and be aware of enterprise application design patterns. 
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications. 
• Good development experience with RDBMS, preferably Sybase database 
• Good knowledge of multi-threading and high volume server side development 
• Experience in sales and trading platforms in investment banking/capital markets 
• Basic working knowledge of Unix/Linux 
• Excellent problem solving and coding skills in Java 
• Strong interpersonal, communication and analytical skills. 
• Should have the ability to express their design ideas and thoughts. 

Strong B2B SaaS Product Manager profiles

Mandatory (Experience 1) – Must have minimum 4+ years of hands-on Product Management experience.

Mandtaory (Experience 2) - Candidate should have worked as Product Manager in last roles.

Mandatory (Experience 3) – Must have worked in B2B SaaS companies only, preferably in Series A to Series C funded startups

Mandatory (Experience 3) – Proven experience owning products end-to-end – from problem discovery and PRD creation to launch, iteration, and impact measurement"

Mandatory (Education 1) – Must be an Engineer and an alumnus of Top 7 IITs only

Mandatory (Education 2) – Year of graduation should be 2019 or later

Key Responsibilities

• Data Architecture & Pipeline Development
• Design, implement, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Integrate structured, semi-structured, and unstructured data from multiple sources.
• Data Storage & Management
• Develop and maintain Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake solutions.
• Ensure proper indexing, partitioning, and storage optimization for performance.
• Data Governance & Security
• Implement role-based access control, data encryption, and compliance with GDPR/CCPA.
• Ensure metadata management and data lineage tracking with Azure Purview or similar tools.
• Collaboration & Stakeholder Engagement
• Work closely with BI developers, analysts, and business teams to translate requirements into data solutions.
• Provide technical guidance and best practices for data integration and transformation.
• Monitoring & Optimization
• Set up monitoring and alerting for data pipelines.
• 
  

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

4-6 years of total experience in data warehousing and business intelligence

3+ years of solid Power BI experience (Power Query, M-Query, DAX, Aggregates)

2 years’ experience building Power BI using cloud data (Snowflake, Azure Synapse, SQL DB, data lake)

Strong experience building visually appealing UI/UX in Power BI

Understand how to design Power BI solutions for performance (composite models, incremental refresh, analysis services)

Experience building Power BI using large data in direct query mode

Expert SQL background (query building, stored procedure, optimizing performance)

• 2 - 7 years of experience in building applications using C++ programming language.
• Comfortable with core programming concepts and techniques (e.g. concurrency, memory management).
• Enjoys working with algorithms and data structures (e.g. trees, hash maps, queues).
• Strong in Data structure and good in problem solving.
• Strong debugging skills.
• Certifying the application – White box testing, black box testing.