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GirnarSoft · posted 4 months ago
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Key Responsibilities |
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· Lead and mentor junior data engineers · Design, build and deploy ELT pipelines and data management processes. · Operationalise ELT job workflow with reliable error/exception handling and rollback framework. · Build and oversee data architecture & pipelines platforms and systems, managing the flow of data from internal and external sources by leveraging both distributed and local structures. · Participate in developing, designing, configuring, and documenting database architecture. · Monitor and improve data loading performance. · Working with CI/CD pipelines to manage and execute releases · Clearly communicate technical terms to non-technical people and help them understand why change might be required to achieve a specific goal or to complete a project · Conform to agile development practices – Evolutionary design, refactoring, continuous integration/delivery, test-driven development. · Work collaboratively with Business Partner Team and Business Stakeholder during projects scoping and feasibility phases as a SME for concept investigation/viability and technical impact; Identify and communicate technical risks and mitigations. · Provide production support for data load jobs. · Write customized query to generate automatic periodic reports. · Maintain or upgrade existing applications. · Attend key design meetings and provide support. |
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Skill Requirements |
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· Bachelor’s or Master degree in Computer Science, Engineering, Mathematics or other technical field is highly preferred. · 10+ years experience with complex data solutions · Experience in creating and managing Azure Data Factory pipelines and writing TSQL (views/functions/stored procedures). · Experience in managing Azure Data Lake structure and security · Proven experience with data modeling, and working with star schema, snowflake schema · Ability to understand and communicate business requirements from non-technical stakeholders while simultaneously managing their expectations. · Experience with the full development life cycle of an application stack - from architecture through test and deployment. · Experience in Master Data management solutions. · Experience in data warehouse analysis and design, with full knowledge of data warehouse methodologies and data modelling. · Unit testing low level components – SQL scripts, Stored Procedures, ETL/ELT modules; Integration testing data transition points; Performance, load and stress testing. · Knowledge and experience in software development methodology and toolset for implementing, lifecycle and management – Agile methodology. · GIT code repository and branching strategies; Microsoft Release Management and any deployment tools; Azure DevOps knowledge. · Experience with Azure cloud solutions; Knowledge of Azure Data Factory, Azure Automation, Azure Data Lake, Azure Synapse, Azure Purview, Azure KeyVault, and Azure Batch. · Experience with Google Cloud Platform solutions; knowledge of Google BigQuery, Google Storage, and Google CloudRun · Experience with APIs. · Team player · Organized and detail oriented · Excellent communication, presentation, and writing skills · Thrives in a fast paced, constantly changing environment
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Behaviours |
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· You’re open: We are inclusive and collaborative; we encourage the free exchange of ideas; we respect and celebrate diverse views. We are open-minded: to new ideas, new partnerships, new ways of working. · You’re optimistic: We believe in the power of creativity, technology and talent to create brighter futures or our people, our clients and our communities. We approach all that we do with confidence: to try the new and to seek the unexpected. · You’re extraordinary : we are stronger together: through collaboration we achieve the amazing. We are creative leaders and pioneers of our industry; we deliver extraordinary every day. |