Sr Cloud Engineer

About Us!

Noventiq (Noventiq Holdings PLC) is a leading global solutions and services provider in digital transformation and cybersecurity, headquartered in London. The company enables, facilitates, and accelerates digital transformation for its customers’ businesses, connecting 80,000+ organizations across all sectors with a vast selection of best-in-class IT vendors, alongside its own services and solutions.

Noventiq delivered record gross revenue of $1.6 billion for the 12 months to March 31, 2023, an increase of 52% in constant currency. The company’s growth is underpinned by its three-dimensional strategy to expand its markets, portfolio, and sales channels. The strategy is supported by an active approach to M&As which enables Noventiq to take advantage of the ongoing consolidation in the industry. Noventiqs 6,400 employees work in approximately 60 countries throughout Asia, Latin America, Europe, Middle East, and Africa—markets with significant growth potential.

• One of the largest SI’s in India with revenue close to 700M$ and growing to 900M$.
• 3500+ Employees in India for India.
• Total 28 Offices in India across North, South, West & East.
• 1000+ Resident Engineers across India.
• 2500+ technical resources in India for India.
• Technology partnerships with Top 3 Cloud Solution Providers, Top 3 Infrastructure companies, Top 10 Cybersecurity companies.
• Enviable customer base: 4 of Top 5 Banks, 3 of Top 5 IT companies, 3 of Top 5 BPO’s, 3 of Top 5 Pharma companies.
• Largest partner to Microsoft with combined infeed of US$600M about 25% of Microsoft India revenues.
  
  

• Experience in building and manage end-to-end analytics workloads using Microsoft Fabric, OneLake, Lakehouses, and Warehouses. Implement Direct Lake connectivity for high-performance Power BI reporting.
• Experience design and develop scalable data processing engines using Azure Databricks. Leverage PySpark for complex transformations, streaming, and large-scale data wrangling.
• Experience in architect multi-stage data pipelines using Azure Data Factory (ADF) and Synapse Pipelines. Focus on metadata-driven frameworks and dynamic orchestration to minimize hard-coding.
• Advanced Scripting & Transformation:
• SQL Scripts: Write high-performance T-SQL and Spark SQL for complex business logic, data validation, and performance tuning in Synapse Dedicated/Serverless pools.
• Python: Develop custom Python modules for API integrations, automation scripts, and advanced data manipulation beyond standard ETL tools.
• Experience in Implementing the Medallion Architecture (Bronze/Silver/Gold) using Delta Lake formats to ensure ACID transactions, data lineage, and schema evolution.
  

• Primary Toolset: Extensive hands-on experience with Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory.
• Expert Scripting: Python: Deep proficiency in Python and PySpark (Spark Core, Spark SQL, Structured Streaming).
• Advanced SQL: Expert-level SQL scripting (Window functions, CTEs, stored procedures, and query optimization).
• Delta Lake & OneLake: Strong understanding of Delta Lake table formats and the unified storage principles of OneLake.
• Orchestration Patterns: Proven ability to build reusable, parameter-driven pipelines in ADF that handle diverse data sources (REST APIs, Parquet, Delta).
• DevOps & CI/CD: Good to have experience with Git-based version control (Azure DevOps/GitHub) and deploying data infrastructure as code (Bicep/Terraform)