Software Integrations Developer

GP Strategies Corporation

. Design and implement end-to-end batch and streaming data pipelines using Azure Data Factory / Synapse Pipelines and Databricks .

Posted 10/12/2026full-timeRemote • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data pipelines using Azure Data Factory, Databricks, and SQL, while ensuring data quality and governance. Proficient in building secure API integrations and optimizing data workflows for performance and reliability.

Highest-signal resume keywords

Azure Data FactoryDatabricksETL/ELT WorkflowsPython (PySpark)SQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData Pipeline DevelopmentSpark OptimizationREST API DesignIncremental ProcessingData VersioningData ModellingEvent-Driven MessagingCI/CD PipelinesAgile/Scrum

Soft Skills

Strong CommunicationProactive CollaborationContinuous ImprovementSense of UrgencyOwnership

Tools & Technologies

Azure FunctionsLogic AppsService BusEvent GridAzure API ManagementAzure Data Lake StorageSynapse AnalyticsDelta LakeMicrosoft FabricPower BI

Industry Keywords

Data GovernanceData QualityStreaming TechnologiesMedallion ArchitectureSlowly Changing Dimensions (SCD)

Tech Stack

Tools & technologies

AzureETLPySparkPythonSDLCSparkSQLVault

About the role

Key responsibilities & impact

Design and implement end-to-end batch and streaming data pipelines using Azure Data Factory / Synapse Pipelines and Databricks
Develop scalable ETL/ELT workflows using PySpark, SQL, and Databricks notebooks
Build and optimize ingestion frameworks for structured and unstructured data
Lead Databricks-based lakehouse architecture using Delta Lake and bronze, silver, and gold data layers
Optimize Spark jobs through partitioning, caching, and cluster tuning
Implement data versioning and incremental processing while maintaining data quality, consistency, and governance
Build secure, scalable solutions using Azure Data Factory, Data Lake Storage, Synapse Analytics, and Key Vault
Design, build, and maintain integrations using Azure Functions, Logic Apps, Service Bus, and Event Grid
Connect business applications, SaaS platforms, and external services with the data platform
Develop and expose secure, documented REST APIs and event-driven endpoints through Azure API Management
Implement publishing, versioning, throttling, and authentication for APIs
Implement event-driven and near-real-time messaging patterns using Event Hub, Event Grid, and Service Bus
Monitor and optimize data workflows for reliability, performance, and cost efficiency
Manage code repositories, CI/CD pipelines, and deployments using Azure DevOps
Maintain technical documentation and follow governance best practices
Collaborate with business stakeholders and technical teams to translate requirements into scalable data solutions
Provide technical leadership
Deliver reliable Azure integration architectures targeting 99.9% uptime, optimized throughput, minimal technical debt, clear documentation, security governance, and seamless data flow

Requirements

What you’ll need

5+ years of experience in Data Engineering / Data Platform development
3+ years of hands-on experience with Azure Databricks
Strong experience with Azure Data Factory, ADLS Gen2, and Synapse Analytics
Proven experience building enterprise-scale data pipelines
Hands-on experience building application and API integrations using Azure Functions, Logic Apps, and Azure API Management
Experience working in Agile/Scrum environments and full SDLC lifecycle
Strong proficiency in Python (PySpark) and SQL
Experience with Databricks notebooks for scalable data processing and transformation logic
Deep knowledge of ETL/ELT design patterns, Slowly Changing Dimensions (SCD), medallion architecture, and data modelling for analytics
Expert-level experience with Azure Data Factory / Synapse Pipelines, Azure Data Lake Storage, and Azure Databricks including Delta Lake
Hands-on experience with Azure Functions, Logic Apps, Service Bus / Event Grid, and Azure API Management
Experience designing REST APIs and implementing secure authentication using OAuth 2.0 / managed identities
Advanced hands-on experience with Spark optimization, cluster management, job orchestration, and performance tuning in Databricks
Experience with streaming technologies, Microsoft Fabric, CI/CD for data platforms, or Power BI is a significant advantage
Design-first and quality-focused mindset
Comfortable working in ambiguity and evolving requirements
Strong communicator able to explain technical concepts to non-technical audiences
Proactive, collaborative, and continuous improvement oriented
Strong sense of urgency and ownership

Benefits

Comp & perks

Opportunity to lead and shape the organization's modern data platform strategy
High-impact data initiatives enabling analytics, AI, and digital transformation programs
Strong executive visibility
Meaningful ownership and technical stretch
Long-term growth opportunity
Opportunity to define best practices under the OneGP model
Opportunity to work with modern Microsoft technologies, including Power Platform, Azure integrations, and emerging AI and Copilot capabilities