Senior Data Engineer

4 weeks ago

Vadodara, India Coffeee.io Full time

Job Title:Lead Data Engineer – SnapLogic Location: Remote Experience: 8+ years (with 3+ years in SnapLogic ETL) Employment Type: Full-timeRole Overview: We are seeking aLead Data Engineer – SnapLogicto design, build, and optimize data integration pipelines across on-premise and cloud platforms. The ideal candidate will have hands-on experience withSnapLogic ETL , strong proficiency inOracle SQL & PL/SQL , and solid working knowledge ofPythonfor automation and transformation tasks. This role requires technical leadership, collaboration with cross-functional teams, and the ability to design scalable data integration solutions.Key Responsibilities: Design and developrobust, reusable, and scalableETL pipelinesusingSnapLogicfor data ingestion, transformation, and loading. Integratedata from multiple sources (databases, APIs, cloud applications) into enterprise data platforms or data warehouses. Develop and optimizecomplex SQL & PL/SQL scriptsfor data extraction, transformation, and validation. Implementdata quality, validation, and error-handling mechanismswithin SnapLogic pipelines. UsePythonfor automation, data manipulation, and advanced transformation logic when required. Collaborate with business analysts, data architects, and other engineers to translate business requirements into technical designs. Lead code reviews, enforce best practices, and mentor junior data engineers. Work closely with theCloudandDevOpsteams to deploy and monitor ETL pipelines inAWSenvironments. Ensuredata security, performance tuning, and compliancewith enterprise data governance standards. Monitor and troubleshoot data pipeline failures using SnapLogic dashboards, logs, and alerting mechanisms.Primary Skills: SnapLogic ETL:End-to-end pipeline development, Snap configuration, account management, error handling, and scheduling. Oracle SQL & PL/SQL:Advanced query optimization, stored procedures, functions, and performance tuning. Python:Data processing, scripting for automation, and integration support within ETL workflows. Good to Have Skills: AWS Cloud competency:Experience with S3, Redshift, Lambda, and Glue. DevOps & CI/CD:Familiarity with Git, Jenkins, or automated deployment of SnapLogic pipelines. Data Warehousing Concepts:Dimensional modeling, star/snowflake schema design. API Integration:Experience with REST/SOAP Snaps or API-based data sources.

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