Azure Data Engineer - +6 years - Full remote - Contractor in USD

For an international project in Chennai, we are urgently looking for a Full Remote Senior Azure Data Engineer.

We are looking for a motivated contractor. Candidates need to be fluent in English.

Tasks and responsibilities: Engage with cross-functional business teams to gather data and reporting requirements, data insights, document data flows, and analyze usage patterns and exceptions. Design, employ and Champion next-generation data and AI-driven products and capabilities when designing the data flow, data repository, dashboarding/reporting/analytics and exception handling; Promote a culture of data-driven decision-making and foster adoption of modern data architecture and AI use cases; Write technical specifications for planned work; As needed contribute to the development of testing artifacts; Architect and design robust, scalable, and high-performing data solutions using modern cloud-native and hybrid platforms. Lead solution development efforts with high-quality, maintainable, and well-documented code when necessary; Create blueprint for how data is stored, accessed and managed; Write complex queries and optimize them for performance across relational and non-relational databases; Designing workflows to extract, transform, and load data between systems accurately and efficiently; Work with a variety of data stores including relational databases, Azure Data Lake, Azure Blob Storage, and Azure Synapse Analytics; Analyze and optimize complex data models and large datasets to improve performance and scalability; Build data repository for analytical and reporting purposes;

Profile: Bachelor or Master degree; +6 years of relevant experience; Very good experience in Data Modeling and designing ETL processes, good experience designing and implementing data repositories and ETL workflows, Experience with data discovery and data mapping; Technologies: SQL, Oracle, Azure Data Lake, (preferred - Azure Data Stack), Python, ETL tools; Familiarity with big data technologies like Spark, and Kafka; Shows an understanding of data management concepts – data quality, data lineage, data lifecycle, master/reference data management, metadata management; Excellent skills in writing PL/SQL and ability to read data models, infer data flows and write complex queries; Has strong analytic, problem solving and logical reasoning skills with high attention to detail and the ability to multi-task; Familiarity in using agile tools such as Azure DevOps; Fluent in English;