Enroute

Support Engineer

• Supports the monitoring, investigation, and resolution of technical issues reported by clients or internal teams
• Focuses on incident handling, hands-on troubleshooting, data analysis, and pattern identification across cases
• Ensures issues are accurately diagnosed, documented, and resolved

Technical Support Trainee – 3 Months Project

Data Engineer

• - Design, build, and maintain scalable data pipelines that support analytics, reporting, and operational workflows.
• - Develop production-grade ETL/ELT pipelines using Python.
• - Orchestrate workflows using Apache Airflow.
• - Design, develop, and maintain data transformation models using dbt.
• - Build and maintain API-based integrations with internal and external systems.
• - Develop and optimize Snowflake data warehouse solutions to support analytical workloads.
• - Ensure data quality, reliability, monitoring, and observability across all data pipelines.
• - Optimize existing pipelines, transformations, and data models for performance and scalability.
• - Collaborate closely with Product, Analytics, and Engineering teams to translate business requirements into production-ready data solutions.
• - Troubleshoot pipeline failures, API integration issues, and data quality problems.
• - Document technical solutions, pipeline architecture, and operational best practices.
• - Support production environments and continuously improve platform reliability.

Senior Data Engineer

Solutions Engineer

• - Support clients during MCP integrations and onboarding.
• - Troubleshoot integration issues and identify root causes.
• - Review logs, API responses, and implementation patterns.
• - Work closely with AI engineers to resolve technical issues.
• - Provide technical guidance and best practices to client teams.
• - Participate in client calls as a technical advisor.
• - Create and improve documentation, runbooks, and troubleshooting guides.
• - Help identify recurring issues and opportunities for process improvement.

AI Solutions Architect – Python, APIs, LLM Integrations

• Support clients during MCP integrations and onboarding.
• Troubleshoot integration issues and identify root causes.
• Review logs, API responses, and implementation patterns.
• Work closely with AI engineers to resolve technical issues.
• Provide technical guidance and best practices to client teams.
• Participate in client calls as a technical advisor.
• Create and improve documentation, runbooks, and troubleshooting guides.
• Help identify recurring issues and opportunities for process improvement.

MCP Solutions Architect

• As a Power Platform Solutions Architect/Developer you will be responsible for designing, governing, and leading solutions built on the Microsoft Power Platform ecosystem, including Microsoft Power Platform, Power Apps, Power Automate, Microsoft Dataverse, Power BI, and Microsoft Copilot Studio.

Power Platform Solutions Architect – Developer

QA Engineer

• Support migration from on-premises Oracle and Boomi to Azure SQL and Azure Data Factory
• Validate migrated data, database objects, ETL pipelines, integrations, and business rules in Azure environment

QA Engineer, Database and Integration Migration

• Analyze existing Boomi integrations, workflows, mappings, transformations, schedules, and dependencies.
• Design and develop equivalent data pipelines in Azure Data Factory.
• Rebuild data ingestion, transformation, orchestration, and data movement processes from Boomi into ADF.
• Connect ADF pipelines to source and target systems, including Oracle, Azure SQL, files, APIs, and other relevant systems.
• Implement pipeline scheduling, parameterization, monitoring, alerting, retry logic, and error handling.
• Collaborate with database migration engineers to ensure pipelines align with migrated Azure SQL data structures.
• Support source-to-target mapping, data transformation logic, and technical documentation.
• Perform pipeline testing, data validation, and defect resolution.
• Optimize ADF pipelines for reliability, performance, and maintainability.
• Support deployment, production cutover, and post-migration stabilization activities.

Data Engineer – Integration Migration

• Analyze existing Oracle schemas, tables, views, stored procedures, functions, indexes, and related database objects
• Support the migration of database structures and data from Oracle to Azure SQL
• Identify compatibility gaps between Oracle and Azure SQL and propose remediation approaches
• Convert or refactor Oracle SQL, PL/SQL, stored procedures, functions, and views into Azure SQL-compatible equivalents
• Support source-to-target mapping, data profiling, and migration analysis
• Perform data validation, reconciliation, and quality checks between Oracle and Azure SQL
• Optimize migrated database objects for performance, scalability, and maintainability
• Collaborate with ETL / ADF engineers to ensure pipelines align with the target data model
• Document migration findings, conversion decisions, validation results, and technical recommendations
• Support testing, defect resolution, production migration, and post-migration stabilization activities
• Troubleshoot performance, compatibility, and data quality issues throughout the migration lifecycle