Job Title : Data Engineer – Spark, Databricks & Snowflake (Energy)
Industry
Energy & Utilities
Position Overview
We are seeking an experienced Data Engineer to design, build, and optimize large-scale data platforms supporting operational, customer, asset, and energy market analytics. The ideal candidate will have strong expertise in Databricks, Spark, Snowflake, and cloud-based data engineering solutions.
Responsibilities
Develop scalable ETL/ELT pipelines using Spark and Databricks.
Build enterprise data solutions on Snowflake.
Integrate data from SCADA, IoT sensors, smart meters, ERP, CRM, and trading systems.
Design batch and real-time data ingestion frameworks.
Optimize data performance, reliability, and scalability.
Implement data quality and monitoring processes.
Support predictive maintenance and asset performance analytics initiatives.
Required Skills
Apache Spark (PySpark, Spark SQL)
Databricks
Snowflake
Python, SQL
Azure Data Factory, AWS Glue, or GCP Dataflow
Kafka/Event Streaming
Delta Lake
CI/CD and DevOps practices
Preferred Skills
Smart Grid Analytics
Energy Trading Data
Renewable Energy Operations
IoT and Time-Series Data Management
Mandatory Experience
5+ years of Data Engineering experience.
Must have prior experience working within the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading sector.
Job Title: BI & Analytics Lead (BFSI)
Position Overview: The BI & Analytics Lead will drive business intelligence initiatives and deliver executive-level reporting, dashboards, and analytical insights for BFSI organizations.
Key Responsibilities:
Develop enterprise reporting solutions.
Design KPI frameworks for banking and financial operations.
Create interactive dashboards and executive scorecards.
Partner with business stakeholders to define reporting requirements.
Implement self-service analytics capabilities.
Perform trend analysis, forecasting, and performance reporting.
Required Skills:
Power BI
Tableau
SQL
Data Visualization
Business Analysis
Data Warehousing
KPI Design
Financial Analytics
Predictive Analytics
Required Qualifications:
Bachelor's degree in Business, Analytics, Finance, or related field.
5+ years in BI and analytics.
Mandatory Industry Experience:
Must have prior BFSI experience with banking operations, customer analytics, regulatory reporting, risk reporting, fraud analytics, or financial performance management.
For more details reach at resumes@navitassols.com
Job Title: Data Governance Manager (BFSI)
Position Overview: The Data Governance Manager will establish enterprise data governance frameworks, policies, standards, and controls supporting regulatory compliance and data quality initiatives.
Key Responsibilities:
Define enterprise data governance policies.
Establish data stewardship programs.
Lead metadata and data lineage initiatives.
Implement data quality frameworks.
Support regulatory compliance requirements.
Collaborate with risk, compliance, and technology teams.
Required Skills:
Data Governance Frameworks
Data Quality Management
Metadata Management
Data Catalog Tools
Data Lineage
Master Data Management (MDM)
Regulatory Compliance
Collibra
Informatica Data Governance
Required Qualifications:
Bachelor's degree in Information Systems or related field.
7+ years in data governance and compliance.
Mandatory Industry Experience:
Must have prior BFSI experience with regulatory frameworks, customer data management, risk data aggregation, BCBS 239, AML, KYC, or financial reporting governance.
For more details reach at resumes@navitassols.com
Job Title: Enterprise Data Architect (BFSI)
Position Overview: The Enterprise Data Architect will define strategic data architecture roadmaps and design scalable data ecosystems for financial institutions.
Key Responsibilities:
Design enterprise data architecture frameworks.
Develop data models supporting banking and insurance platforms.
Define cloud data architecture standards.
Lead modernization initiatives from legacy platforms.
Establish data integration and interoperability standards.
Support enterprise AI and analytics initiatives.
Required Skills:
Enterprise Data Architecture
Data Modeling
Cloud Architecture
Snowflake
Databricks
Azure/AWS/GCP
Data Lakes
Data Warehousing
Integration Architecture
Required Qualifications:
Bachelor's degree in Computer Science or related discipline.
10+ years of data architecture experience.
Mandatory Industry Experience:
Must have prior BFSI experience designing enterprise data platforms supporting core banking, lending, insurance, payments, wealth management, risk, or compliance systems.
For more details reach at resumes@navitassols.com
Job Title: Machine Learning Engineer (BFSI)
Position Overview: The ML Engineer will develop, deploy, and optimize machine learning solutions supporting fraud detection, risk analytics, customer intelligence, and financial forecasting.
Key Responsibilities:
Develop machine learning models and pipelines.
Build feature engineering frameworks.
Deploy production-grade ML solutions.
Optimize model performance and scalability.
Collaborate with data scientists and business teams.
Implement model monitoring and governance.
Required Skills:
Python
Machine Learning
Scikit-learn
TensorFlow
PyTorch
Spark ML
Feature Engineering
Model Deployment
SQL
Required Qualifications:
Bachelor's or Master's degree in Data Science, AI, Computer Science, or related field.
5+ years of machine learning experience.
Mandatory Industry Experience:
Must have prior BFSI experience delivering fraud detection, credit risk scoring, customer segmentation, anti-money laundering, underwriting, or financial forecasting solutions.
For more details reach at resumes@navitassols.com
Job Title: MLOps Engineer (BFSI)
Position Overview: The MLOps Engineer will establish scalable machine learning operations frameworks and automate the deployment, monitoring, and governance of AI models.
Key Responsibilities:
Build ML deployment pipelines.
Implement CI/CD for machine learning workloads.
Automate model retraining and validation.
Establish model monitoring and observability.
Manage ML infrastructure and environments.
Ensure compliance and governance requirements.
Required Skills:
Bachelor's degree in Computer Science or related field.
5+ years of MLOps or ML Engineering experience.
Mandatory Industry Experience:
Must have prior BFSI experience supporting regulated AI/ML environments, model governance, risk management, fraud analytics, or financial decisioning systems.
For more details reach at resumes@navitassols.com
Job Title: GenAI / LLM Architect (BFSI)
Position Overview: The GenAI Architect will lead the design and implementation of enterprise Generative AI solutions leveraging Large Language Models to transform customer service, operations, compliance, and knowledge management within BFSI organizations.
Key Responsibilities:
Design enterprise GenAI architecture.
Build RAG (Retrieval-Augmented Generation) solutions.
Fine-tune and deploy LLMs.
Implement AI governance, security, and compliance controls.
Develop conversational AI and virtual assistant solutions.
Evaluate emerging AI technologies and frameworks.
Required Skills:
Generative AI
Large Language Models (LLMs)
OpenAI
Azure OpenAI
LangChain
LlamaIndex
Vector Databases
RAG Architecture
Prompt Engineering
AI Governance
Required Qualifications:
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
8+ years of technology experience with 3+ years focused on GenAI/LLM solutions.
Mandatory Industry Experience:
Must have prior BFSI experience implementing AI solutions for customer service, compliance, AML/KYC operations, financial advisory platforms, underwriting, claims processing, or banking operations.
For more details reach at resumes@navitassols.com
Job Title: Data Engineer – Spark, Databricks & Snowflake (BFSI)
Position Overview: We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.
Key Responsibilities:
Design and develop enterprise-grade data pipelines using Spark and Databricks.
Build and optimize Snowflake data warehouse solutions.
Develop ETL/ELT frameworks for structured and unstructured data.
Implement data quality, governance, and security controls.
Integrate data from core banking, payments, lending, risk, and regulatory systems.
Optimize data processing performance and cloud costs.
Required Skills:
Apache Spark (PySpark/Scala)
Databricks
Snowflake
SQL, Python
Azure/AWS/GCP Data Services
Data Modeling
ETL/ELT Development
CI/CD and DevOps Practices
Data Lake Architecture
Required Qualifications:
Bachelor's degree in Computer Science, Engineering, or related field.
5+ years of Data Engineering experience.
Experience implementing enterprise data platforms.
Mandatory Industry Experience:
Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.
For more details reach at resumes@navitassols.com
Position Overview
Seeking an experienced ServiceNow ITOM Consultant to manage infrastructure visibility, service mapping, event management, and operational automation for large telecom environments.
Responsibilities
Configure Discovery, Service Mapping, and CMDB.
Implement Event Management and Operational Intelligence.
Integrate monitoring and network management tools.
Support cloud, network, and infrastructure operations.
Ensure CMDB accuracy and governance.
5+ years of ServiceNow ITOM experience.
CIS-ITOM preferred.
Mandatory Requirement
Candidates must have prior Telecom industry experience working with network operations, telecom infrastructure, OSS/BSS platforms, or NOC environments.
Position Overview
The ServiceNow HRSD Consultant will be responsible for implementing and enhancing HR Service Delivery solutions to improve employee experience and HR process automation within telecom enterprises.
Responsibilities
Configure Employee Center and HR Case Management.
Implement Lifecycle Events and Employee Workflows.
Develop HR knowledge management solutions.
Integrate HR systems and third-party applications.
Support HR transformation initiatives.
Required Skills
ServiceNow HRSD
Employee Center
HR Case Management
Lifecycle Events
Knowledge Management
Flow Designer
IntegrationHub
REST/SOAP APIs
Qualifications
5+ years of ServiceNow HRSD experience.
CIS-HRSD preferred.
Mandatory Requirement
Candidates must have prior Telecom industry experience supporting large workforce environments and enterprise HR operations.
ServiceNow CSM
Customer Service Management
Case Management
Omnichannel Support
Service Portals
Knowledge Management
Customer Workflows
Telecom Customer Support Operations
CRM Integrations
Mandatory Telecom Requirement: Experience supporting telecom customer service operations, subscriber management, service fulfillment, and customer care environments.
For more details reach at resumes@navitassols.com
Position Overview
We are seeking a ServiceNow ITSM Consultant with strong Telecom industry experience to design, implement, and optimize IT Service Management processes. The consultant will work with business and technology teams to improve service delivery, operational efficiency, and customer satisfaction.
Responsibilities
Implement Incident, Problem, Change, Request, and Knowledge Management modules.
Configure Service Catalogs and workflow automation.
Develop reports, dashboards, and KPIs.
Support ITIL process improvements and governance.
Collaborate with telecom operations and service delivery teams.
5+ years of ServiceNow ITSM experience.
ServiceNow CIS-ITSM preferred.
Mandatory Requirement
Candidates must have prior Telecom industry experience supporting telecom operations, network services, OSS/BSS environments, or customer service organizations.
For more details reach at resumes@navitassols.com
Position Overview
The ML Engineer will develop and deploy machine learning models supporting predictive maintenance, energy demand forecasting, asset optimization, and renewable energy production analytics.
Responsibilities
Develop machine learning pipelines.
Build predictive analytics solutions.
Deploy ML models into production.
Optimize model performance and monitoring.
Collaborate with data scientists and engineers.
Support AI-driven operational excellence programs.
Required Skills
Python
Machine Learning
TensorFlow
PyTorch
Scikit-Learn
Databricks ML
Feature Engineering
Model Deployment
Preferred Skills
Predictive Maintenance
Demand Forecasting
Energy Load Optimization
Renewable Energy Analytics
Mandatory Experience
5+ years in Machine Learning Engineering.
Must have prior Energy sector experience.
For more details reach at resumes@navitassols.com
Position Overview
The MLOps Engineer will establish and manage scalable ML infrastructure, ensuring efficient deployment, monitoring, governance, and lifecycle management of machine learning solutions.
Responsibilities
Build ML deployment pipelines.
Implement CI/CD for ML systems.
Automate model retraining workflows.
Monitor model performance and drift.
Manage ML infrastructure and environments.
Ensure governance and compliance requirements.
Required Skills
MLOps
Kubernetes
Docker
MLflow
Databricks
Azure ML / SageMaker / Vertex AI
GitHub Actions
Terraform
Preferred Skills
Energy Forecasting Models
Asset Optimization Models
Real-Time Monitoring Systems
Mandatory Experience
5+ years in MLOps or ML Platform Engineering.
Must have prior Energy industry experience.
For more details reach at resumes@navitassols.com
Position Overview
The Data Governance Manager will establish enterprise-wide governance frameworks, ensuring data quality, compliance, security, and stewardship across energy operations and business functions.
Responsibilities
Define governance policies and standards.
Establish data ownership and stewardship processes.
Implement metadata management strategies.
Lead master data management initiatives.
Ensure regulatory compliance.
Monitor data quality and governance KPIs.
Required Skills
Data Governance Frameworks
Data Quality Management
Master Data Management (MDM)
Metadata Management
Collibra
Informatica
Alation
Regulatory Compliance
Preferred Skills
Utility Regulatory Compliance
Energy Market Data Standards
ESG Reporting Governance
Mandatory Experience
7+ years in Data Governance.
Must have prior experience in the Energy or Utilities sector.
For more details reach at resumes@navitassols.com
Position Overview
The GenAI Architect will lead the design and implementation of Generative AI solutions that improve operational efficiency, knowledge management, field service operations, asset maintenance, customer support, and energy market intelligence.
Responsibilities
Design enterprise GenAI architecture.
Build RAG-based AI solutions.
Develop domain-specific AI assistants.
Integrate LLMs with enterprise systems.
Establish AI governance and security controls.
Lead AI innovation initiatives across the organization.
Required Skills
Generative AI
Large Language Models (LLMs)
OpenAI APIs
Azure OpenAI
LangChain
LangGraph
Vector Databases
RAG Architecture
Prompt Engineering
AI Governance
Preferred Skills
Energy Operations Knowledge Management
Field Service Copilots
Asset Maintenance AI Assistants
Energy Market Intelligence Solutions
Mandatory Experience
8+ years in Data & AI roles.
3+ years in GenAI/LLM solutions.
Must have prior experience in the Energy, Utilities, Oil & Gas, Renewable Energy, or Energy Trading industry.
For more details reach at resumes@navitassols.com
Position Overview
The BI & Analytics Lead will deliver enterprise reporting and analytics solutions that provide actionable insights into generation, transmission, distribution, asset performance, customer consumption, and energy market operations.
Responsibilities
Develop enterprise dashboards and KPI frameworks.
Build executive reporting solutions.
Design self-service analytics platforms.
Analyze operational and financial performance metrics.
Create forecasting and demand analytics models.
Partner with business stakeholders to drive data-driven decisions.
Required Skills
Power BI
Tableau
SQL
Data Modeling
DAX
ETL Concepts
Python or R
KPI Framework Development
Position Overview
The Data Architect will define and implement enterprise data architecture strategies supporting digital transformation, operational analytics, smart grid initiatives, and renewable energy programs.
Responsibilities
Design enterprise data architecture frameworks.
Build cloud-native data platforms.
Define data integration strategies.
Establish enterprise data models.
Ensure architecture scalability and governance.
Support AI and advanced analytics initiatives.
Required Skills
Data Architecture
Cloud Architecture (Azure, AWS, GCP)
Snowflake
Databricks
Data Modeling
API Integration
Enterprise Integration Patterns
Preferred Skills
Smart Grid Architecture
Energy Trading Platforms
IoT Data Architecture
Digital Twin Solutions
Mandatory Experience
8+ years in Data Architecture.
Must have Energy industry experience.
For more details reach at resumes@navitassols.com
