Senior Data Engineer

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October 15

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NowVertical Group Inc.

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Artificial Intelligence • Finance • Media

NowVertical Group Inc. is an award-winning data and analytics partner that specializes in transforming complex data challenges into business value through artificial intelligence and advanced analytics. With expertise across various sectors including financial services, media, and technology, the company offers a comprehensive suite of services such as customer segmentation, predictive recommendations, and data governance. Their solutions are designed to enhance customer engagement, improve operational efficiency, and drive return on investment for businesses looking to unlock the full potential of their data.

201 - 500 employees

🤖 Artificial Intelligence

💸 Finance

📱 Media

💰 Post-IPO Debt on 2023-01

📋 Description

• Be a key member of our Technology Consulting team helping our clients in addressing their business challenges by participating in designing and developing their customer data analytics solutions. • Analyse business/functional requirements, review the cloud-based solution architecture for ETL projects and develop the technical cloud-based architecture and design • Work on the data from latest channels and avenues of customer interaction (e.g. cloud based/mobile solutions/social media/web logs along with the traditional data sources like CRM, Marketing automation) to derive customer insight and analytics. • Design, build and test the cloud-based integration solution in collaboration with onsite/offshore team members. Deploy the solution on a high-availability shared service cloud-based production environment. • Perform code reviews and ensure that the solution is aligned to pre-defined architectural standards, guidelines, best practices, and meet the quality standards. • Understand and comply with the established software development life cycle methodology. • Proactively identify opportunities for process improvements and implement the same. • Establish and enhance technical guidelines and best practices for cloud integration development team.

🎯 Requirements

• Expertise of data integration methodologies with experience on different cloud-based data integration technologies such as DBT / Azure Data Factory / Google Cloud Data Fusion and Databricks utilising techniques on data pipelines, APIs, Microservices within GCP and/or Azure. • Experience of programming languages (Python) pertaining to data engineering. • Experience working with cloud-based SQL/NoSQL databases, data warehouses and data lakes like Snowflake, Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Azure Synapse Analytics, and Google BigQuery. • Expertise on GCP and/or Azure platforms and components including Google BigQuery, Cloud Functions, Cloud Dataflow, Cloud Storage, Azure Synapse Analytics, Azure Functions, Azure Data Factory, and Azure Data Lake Storage (ADLS). • A good understanding of Data Governance/Data Management/Data Quality processes. • Proficiency with data modelling techniques. • Experience or knowledge of DevOps and DataOps utilising Git related platforms. • The ability to work on fast-paced projects and deliver independently for any critical Consulting role. • Relevant Certifications on GCP and/or Azure specifically **Microsoft Certified: Azure Data Engineer Associate or Google Cloud Certified - Professional Data Engineer**

🏖️ Benefits

• You will have the opportunity to work in a successful, fast-moving mission-driven company • You will have autonomy and growth opportunities • You will be provided with stock options to invest in company’s growth • You will collaborate with other brilliant minds • You will always be surrounded by new challenges from clients, consultants and technology