Data and Integration Engineer
Data and Integration Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
- Assist in configuring and maintaining integration workflows using middleware tools to support data exchange between Tangos API architecture and third-party systems.
- Support ETL processes including data extraction transformation and loading following Tangos proprietary data migration methodologiesincorporating data analysis of input internal and output message data.
- Participate in testing and validating integrations ensuring data quality asynchronous processing and polling-based synchronization meet client requirements; plan and lead integration tests with external systems.
- Collaborate on low-touch implementations by leveraging standard API endpoints and flat file transfers (e.g. SFTP-based) deploying standard integrations and providing daily operational support.
- Provide Level 3 Production Support for integration-related issues including root-cause analysis and remediation within defined SLAs; serve as the primary coordinator for internal engineering resources.
- Contribute to documentation updates for integration playbooks Swagger files user guides test procedures performance specifications and product manuals to enhance self-service capabilities.
- Assist in estimating Level of Effort (LOE) for custom integrations during SOW/CO development and client engagements; prepare data templates based on Source to Target Mapping (STM) documents.
- Perform data transformations including merging ordering aggregation and resolving data cleansing/quality issues using various data processing tools; add/remove columns in ETL scripts (e.g. Kettle) using STM/Data Templates.
- Run lookups queries update lookups execute data quality scripts format and validate data quality reports and run scripts on data in staging databases while updating data load checklists.
- Conduct internal smoke testing of loaded data in the Tango application and prepare/add/remove columns in sample Business Data validation trackers using STM.
- Integrate information from multiple data sources solving common transformation problems and effectively communicate with managers and project teams regarding data sets and reporting needs.
- Engage in agile iterations for refining transformation routines and business rules prioritizing critical path data elements while understanding business-domain context to clean and transform data for analysis.
Qualifications :
- Bachelors degree in Computer Science Information Technology Data Science Mathematics Statistics or a related quantitative field (or equivalent experience).
- 3-6 years of professional experience in software development integrations or data wrangling at least 3 years of SQL proficiency.
- Proficiency in JavaScript with a solid understanding of scripting for data manipulation and automation; 2 years of experience with Kettle (Pentaho) or similar ETL/data processing tools.
- Hands-on experience in any ETL/Reporting tool and manual data analysis using Excel or other spreadsheet tools.
- Basic knowledge of RESTful APIs asynchronous processing and data formats (e.g. JSON CSV); understanding of both waterfall and agile project management methodologies.
- Proficient in Microsoft Office software applications such as Word Excel and PowerPoint.
- Excellent analytical and problem-solving skills with the ability to perform root-cause analysis; strong attention to detail and prioritization skills to handle multiple tasks in a fast-paced environment.
- Strong written and verbal communication skills; aptitude to learn new technologies.
Preferred Qualifications:
- Experience with for building scalable backend services and handling data pipelines; 3 years of scripting experience for data analysis in languages like SQL Python or R.
- Familiarity with Node-RED or similar low-code/no-code flow-based tools for middleware and integration workflows.
- Demonstrated experience in data wrangling including extracting and transforming different types of data files (e.g. CSV XLSX) into analyzable structures using reproducible coding and scripting techniques.
- Exposure to ETL tools data migration processes or middleware architectures (e.g. Node-RED in a production environment).
- Understanding of security protocols such as JWT authentication PGP encryption or SAML 2.0 for SSO.
- Prior experience in SaaS environments particularly IWMS or enterprise software integrations.
Additional Information :
- Need for immediate joining.
- Work from home.
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- APIs
- Jenkins
- REST
- Python
- SOAP
- Systems Engineering
- Service-Oriented Architecture
- Java
- XML
- JSON
- Scripting
- Sftp
