ETL Developer
About Infinite:Infinite is a global leader in digital engineering and IT services, with over 20 years of experience driving digital transformation. We partner with leading Fortune 1000 companies to deliver innovative, scalable technology solutions that accelerate business outcomes.With deep expertise in telecommunications, healthcare, banking, and finance, Infinite helps organizations optimize and modernize their technology landscapes to achieve long-term growth and efficiency.Position Title:ETL Developer – Python, PySpark, FastAPI, AWS & GCPPosition Summary:We are seeking a highly skilled ETL Developer with expertise in Python, PySpark, and FastAPI to design, develop, and maintain scalable data integration solutions across enterprise data platforms. The ideal candidate will have hands-on experience building high-performance ETL/ELT pipelines that extract, transform, and load data into and from MongoDB, Elasticsearch, Snowflake, and Microsoft SQL Server (MSSQL).This role requires strong cloud experience in both AWS and Google Cloud Platform (GCP), including the ability to read, process, and write data to Amazon S3 and Google Cloud Storage (GCS). The candidate will also develop RESTful APIs using FastAPI to support data ingestion, integration, and microservices-based architectures.Key ResponsibilitiesETL Development & Data IntegrationDesign, develop, and maintain scalable ETL/ELT pipelines using Python and PySpark.Extract, transform, validate, and load large volumes of structured and semi-structured data from multiple data sources.Build reusable data ingestion frameworks and automation utilities.Develop batch and near-real-time data processing solutions.Ensure data integrity, quality, and consistency across enterprise systems.Database & Data Platform IntegrationDevelop integrations with:MongoDBElasticsearchSnowflakeMicrosoft SQL Server (MSSQL)Create optimized data movement solutions between operational databases, cloud storage platforms, and analytical environments.Design and implement efficient data models and data loading strategies.Optimize SQL queries and database performance.API DevelopmentDesign and develop RESTful APIs using FastAPI for:Data ingestion servicesData extraction servicesData validation and transformation servicesInternal data access and integration layersImplement authentication, authorization, logging, and monitoring for APIs.Cloud Data EngineeringDevelop and maintain solutions for reading and writing data to:Amazon S3Google Cloud Storage (GCS)Build cloud-native data processing workflows.Implement secure data transfer mechanisms across cloud platforms.Support hybrid cloud and multi-cloud data architectures.Performance OptimizationTune and optimize Spark jobs for large-scale distributed processing.Improve ETL throughput and reduce processing latency.Troubleshoot pipeline failures and implement robust error handling.Monitor system performance and recommend improvements.DevOps & AutomationImplement CI/CD pipelines for ETL and API deployments.Automate infrastructure and deployment processes where applicable.Participate in code reviews and maintain development standards.Create technical documentation and operational runbooks.CollaborationWork closely with Data Architects, Data Engineers, Business Analysts, and Application Development teams.Collaborate with stakeholders to understand business and technical requirements.Participate in architecture reviews and solution design discussions.Required QualificationsEducationBachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.Equivalent work experience may be considered.Experience5+ years of experience in Data Engineering, ETL Development, or related roles.Strong experience developing ETL pipelines using Python and PySpark.Experience working in cloud-based data environments.Proven experience building REST APIs using FastAPI.Required Technical SkillsProgramming & Data ProcessingPython (Advanced)PySpark / Apache SparkSQL (Advanced)Data Transformation and Data Quality FrameworksDatabases & Data PlatformsMongoDBElasticsearchSnowflakeMicrosoft SQL Server (MSSQL)API DevelopmentFastAPIRESTful ServicesOpenAPI/SwaggerAPI Security (OAuth2, JWT, API Keys)Cloud PlatformsAWSAmazon S3Google Cloud Platform (GCP)Google Cloud Storage (GCS)Preferred QualificationsExperience with Agentic AI.Key CompetenciesStrong analytical and problem-solving skills.Ability to work independently and collaboratively within cross-functional teams.Excellent verbal and written communication skills.Strong attention to detail and commitment to data quality.Ability to manage multiple priorities in a fast-paced environment.Passion for building scalable and reliable data solutions.