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NowVertical

Data analytics software and services provider

Technical Lead - Data Analytics & Cloud

Data EngineeringConfirmed live in the last 24 hours
Full-timeNavi Mumbai, Maharashtra, India

About the Job

Requirements

  • Expertise in Snowflake and other cloud data warehouses, including Azure SQL Data Warehouse and Google BigQuery, and strong implementation knowledge of data lake and data warehouse architecture across Google Cloud Platform and Azure.
  • Experience with integration and ingestion frameworks using Python, Airflow, Azure Data Pipelines, or other integration tools; big data experience is not required.
  • Experience working on cloud data warehouses, data lakes, migrations, and digital transformation, including work on two to three large projects involving cloud services.
  • Knowledge of unstructured, semi-structured, and structured data, and data ingestion development experience using stream-, API-, file-, trigger-, or microservice-based approaches.
  • Knowledge of data structures and modeling, with the ability to contribute to data unification and modeling.
  • Hands-on architecture experience with a data engineering stack, typically including DevOps tools such as Git and Docker, security stack implementation, and awareness of DataOps principles and Agile software development lifecycle practices.
  • Excellent communication skills and the ability to explain complex technical ideas to technical and non-technical stakeholders.
  • Ability to lead architectural decisions, drive best practices, and mentor others.
  • Experience in consulting, primarily with UK and US clients.

Responsibilities

  • Work with senior solution architects and chief technology officers to advise on and select technologies, keep up with emerging technologies and trends, promote best practices and innovation, and present solutions to client enterprise architects to gain agreement.
  • Own requirement analysis and feasibility studies or conduct gap analysis during the discovery phase, and translate complex business requirements into workable technical solutions.
  • Deliver recommended or demonstrated technical solutions by working with development and technology teams, guiding and mentoring the core development team on data projects, and providing hands-on technical guidance.
  • Manage the team, guide the team and organization on new technology during onboarding, support project managers with effort estimation and cost and risk impact analysis, and mentor or coach technical team members.
  • Present technical information and discovery findings, provide project progress updates to key stakeholders, and align solutions with business goals while communicating with technical and non-technical stakeholders.
  • Take end-to-end development and delivery responsibility in collaboration with senior leads and delivery or project managers.
  • Ensure architectures are robust, maintainable, and secure; establish data security and compliance best practices; and ensure quality control and testing.
  • Provide hands-on technical leadership in distributed data processing; real-time and batch data pipelines; data modeling and optimization; and security and regulatory standards.

Desired Qualifications

  • Google Cloud certifications such as Professional Cloud Architect or Data Engineer.
  • Experience with hybrid, on-premises, and cloud environments.
  • Knowledge of compliance frameworks relevant to the market, such as GDPR and HIPAA.
  • Prior experience in enterprise consulting or professional services.
  • Experience scaling global cloud teams or working with globally distributed systems.
  • Snowflake experience is listed as an advantage.

About the Company

NowVertical

Data analytics software and services provider

NowVertical provides data analytics software services to help clients make data-informed decisions. Its ecosystem includes tools like NOW Analytics Toolkit, NowFusion, NowPrivacy, and NowDataBench for data management, privacy, and analytics, supporting diagnostic, predictive, and prescriptive models with consulting and support. The company stands out by acquiring leading data and analytics firms and keeping them autonomous, blending proprietary software with expert services. Its goal is to help private industry and government maximize data value and succeed in the digital economy using scalable, cost-efficient analytics.

Company size
201-500
Company stage
IPO
Headquarters
Toronto, Canada
Founded
2017

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