Senior Azure Data Engineer - 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;
• +8 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;