Jobs at Northbay

Supports enterprise data management, engineering, integration, modeling, governance, and business intelligence initiatives. Builds ingestion and transformation pipelines with Microsoft Fabric and Databricks, develops Power BI dashboards, maintains logical and physical data models, and supports Microsoft Purview cataloging, metadata, lineage, and governance. The role also monitors data quality, resolves cross-system issues, documents standards, and collaborates with business, technical, and international stakeholders.

Supports enterprise data management, integration, engineering, modeling, governance, and business intelligence. Builds Fabric ingestion solutions and Databricks pipelines, develops Power BI dashboards, maintains logical and physical data models, and supports Purview cataloging, metadata, lineage, and governance. Monitors data quality, resolves source-system issues, documents standards, and collaborates with business, technical, and international stakeholders to deliver governed, analytics-ready data.

Supports enterprise data management, integration, engineering, business intelligence, modeling, governance, and data quality initiatives. Builds ingestion and transformation pipelines using Microsoft Fabric and Databricks, develops Power BI dashboards, maintains logical and physical data models, and supports Purview cataloging, metadata, lineage, and governance. The role resolves data issues, ensures analytics-ready data, collaborates with business and technical stakeholders, and contributes to data management standards and continuous improvement.

Design and develop scalable Azure-based ETL and ELT pipelines using Azure Data Factory and Databricks. Build lakehouse solutions with ADLS Gen2, PySpark, Spark SQL, and Delta Lake. Integrate Synapse, Event Hub, Logic Apps, Functions, Azure SQL, Key Vault, and SharePoint. Troubleshoot and optimize data pipelines and Spark workloads while working UAE business hours and observing the UAE public holiday calendar.

Design and develop scalable Azure data platforms, ETL and ELT pipelines, lakehouse solutions, and data integrations. Build transformations with PySpark, Spark SQL, and Delta Lake; work with Data Factory, Databricks, Synapse, Event Hubs, Azure SQL, Logic Apps, Functions, Key Vault, and SharePoint. Troubleshoot and optimize data pipelines and Spark workloads while supporting secure, reliable data processing.

Design and develop scalable Azure ETL and ELT pipelines using Azure Data Factory and Databricks. Build lakehouse solutions on ADLS Gen2, transform data with PySpark, Spark SQL, and Delta Lake, and integrate Synapse, Event Hubs, Logic Apps, Functions, Azure SQL, Key Vault, and SharePoint. Troubleshoot and optimize pipelines and Spark workloads while working UAE business hours and observing the UAE public holiday calendar.

Designs and manages scalable Azure data platforms, batch and real-time pipelines, data lakes, warehouses, and lakehouses. Builds ETL/ELT and data quality frameworks, optimizes performance, implements governance and security, and integrates platforms with AI, BI, and enterprise applications. Collaborates with stakeholders, participates in architecture and code reviews, troubleshoots issues, and mentors technical teams.

The Azure Data Engineer will design and implement data orchestration using Azure Data Factory and create reports with Power BI, while adapting to evolving business requirements.

Provide 24x7 SecOps coverage across L1-L4 roles: triage, ticketing, advanced troubleshooting, firewall/WAF/IPS management, endpoint and identity administration, preventive maintenance, MIS reporting, compliance/audit support, DR exercises, SOPs, and ITSM adherence. Ensure continuity, backfill, and SLA-driven operation under client processes.

The Lead Data Engineer will design and optimize scalable data platforms using AWS, PL/SQL, and PostgreSQL, lead teams, and implement data governance best practices.

The Azure Data Engineer is responsible for creating data orchestration using Azure Data Factory and Power BI, understanding business requirements, and implementing reporting solutions.

Manage and apply data classification labels, run and maintain automated data-classification tools, prepare client-facing classification reports, host technical audits, and coordinate remediation of mislabelled or sensitive data with IT and database teams to ensure compliance and data protection.

Manage and automate data classification and labeling, operate data governance/catalog tools, prepare client-facing classification reports, host audits, and coordinate remediation with IT and database teams to ensure sensitive data is secured and compliant.

The Lead Data Engineer will oversee the design and development of scalable data platforms, focusing on AWS and database technologies to drive data engineering initiatives while ensuring data quality and governance.

NorthBay seeks a Senior Data Scientist with 8+ years of experience to lead data processing and AI model implementation, optimizing predictive systems and collaborating with stakeholders.

The Lead Data Engineer will design and implement scalable data platforms, optimize data pipelines, and provide technical leadership in AWS-based data environments.

The Senior Data Engineer will develop and maintain data pipelines and ETL workflows, optimize SQL queries, and support data integration on AWS and databases like Oracle and PostgreSQL.

The Senior Data Engineer will develop and maintain data pipelines, optimize queries, and support scalable data platforms using AWS, Oracle PL/SQL, and PostgreSQL.

The Senior Data Scientist will lead data analytics initiatives, optimize AI workflows, develop data pipelines, and collaborate with stakeholders to derive actionable insights.

The Azure Data Engineer will create data orchestration using Azure Data Factory and implement reporting with Power BI, ensuring data governance and security frameworks are in place.