Software Engineering Advisor (0251271) - Placement Services USA
Design, implement, and maintain database objects, collaborate with data architects to recommend optimal data models for data ingestion, and design, implement, and perform unit testing. Validate data integration routines by developing and executing test plans and scenarios, including data design, tool design, data extract and transform, and networks.
Ensure data quality through creation of audit controls, proactive monitoring, and data cleansing techniques, participate in component and data architecture design, technology planning, product evaluation, and advanced testing processes, and design, code, test, and support application software.
Contribute to overall integration platform, enhancing processing speed and error handling, create models for data interoperability between on-premises and cloud-based solutions, and plan and coordinate data sharing migration between systems.
Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective protection and integrity of data assets, build processes supporting data transformation, data structures, metadata, dependency, and workload management, and build data warehouse and reporting schemas.
Provide end-to-end support by analyzing logs for any issues in all development, test, and production environments and resolving and fixing issues to ensure minimal interruptions in daily jobs. Gather, analyze, and develop solutions and ensure the timely delivery of scalable products both in architecture and developmental aspects, extend support to all teams across the organization by providing timely solutions and quick fixes, and develop functionalities of cloud solutions to ensure the standard of code readability.
Create data models and collect requirements from business users and transform them into logical and physical database designs, develop transformations in spark jobs, develop CICD pipelines, transform streaming data from SQL servers to targets, identify CDD data, and review the quality of code, ensuring compliance with coding standards.
Hybrid work schedule.The experience and education requirements are:
Three years of experience developing and implementing data solutions. Must have experience with: Microsoft Azure, including Databricks, ADF, Logic Apps, Azure Functions, Blob Storage, Azure SQL Database, Azure Event Grid, Azure Analytics, and Azure Monitor; Scala; Structured and unstructured data.
A Bachelors or foreign equivalent degree in computers or engineering
Please copy and paste your resume in the email body do not send attachments, we cannot open them and email them at candidates at (link removed) with reference #0251271 in the subject line.
Thank you.