Data Engineer

Hi, I’m Balu from Thoughtwave, I hope you are doing well, Regarding the below role, if you are interested, please do send me your updated resume to balavardhan@thoughtwavesoft.com or call me at 630-296-9951 ASAP Role: Data Engineer Location: 100% REMOTE Duration: 6 Months – Contract to hire Must Haves: Azure Azure Synapse Data Modeling Data Brick Nice To Have: Data Pipelines Python/SQL Data Engineer Key Responsibilities: Lead and manage data engineering projects through completion Implement end-to-end data analytics solutions (from data ingestion through visualization) for large-scale, complex client environments. Perform data modeling to meet the business requirements and approved data architecture Continually improve processes through automating or simplifying self-service support for datasets Utilize data preparation, integration, storage & analytics tools within the Azure landscape Partner with business unit IT teams to gather, and document analytics solution requirements. Monitor, manage and administer the Enterprise Insights & Discovery Data Warehouse and ensure optimal performance at scale. Document and provide solution options and recommendations for analytics solutions Collaborate and partner with cloud service providers, data science, data governance and other IT and business teams in the process of delivering analytics solutions Maintain and develop professional and technical knowledge by availing internal and external training courses, participating in seminars, webinars, obtaining certifications as well as being aware of industry trends Recognize and adopt best practices in reporting and analysis: data integrity, data security, analysis, validation, and documentation. Education and Experience Bachelor’s degree in Computer Science, Information Systems, Software Engineering, Data Analytics, or equivalent experience. Minimum 5 years’ experience in building data pipelines, data models and maintaining/supporting enterprise data warehouse solution Microsoft Azure certifications in various analytics technologies is a plus Working knowledge/familiarity with Oil & Gas industry processes is a plus Expertise in developing and deploying analytics solutions within Microsoft Azure (Azure Data Lake, Azure Data Factory, Azure Synapse and Synapse Pipelines). Strong SQL experience, data modeling, data warehouse and OLAP concepts. Batch data ingestion (ETL, ELT) experience desired. Working experience in visualization tools such as SAP Business Objects Web Intelligence, Microsoft PowerBI, Tableau desired. Skills Cloud platform certifications are a plus, e.g., Microsoft Azure. Familiarity with DevOps, Agile, Scrum, and ITIL is a plus. Building Partnerships - Developing and leveraging relationships within and across work groups to achieve results. Drive for Results - Taking prompt action to accomplish objectives; taking actions to achieve goals beyond what is required; being proactive Continuous Improvement – Originating actions to improve existing conditions and processes, identifying improvement opportunities, generating ideas and implementing solutions