Data Solutions Specialist

Your potential is waiting to be unleashed.

India's impact on the global economy has been increasing exponentially, and we have an opportunity for you to realise your full potential among cutting-edge leaders and organisations shaping the future of the region and beyond.

We offer a perfect platform to collaborate, innovate, grow, and make a meaningful impact.

Job Overview

We are seeking a skilled Data Engineer with deep expertise in Azure, SQL Server, and Databricks to design, build, and manage scalable data pipelines and enterprise data solutions. This role will play a critical part in supporting our analytics, reporting, and data science initiatives by delivering high-quality, reliable, and performant data systems.

Main Responsibilities:

• Design, develop, and maintain ETL/ELT pipelines using Azure Data Factory (ADF) and Databricks for batch and real-time data processing.
• Incorporate data from various structured and unstructured sources including SQL Server, Azure SQL Database, Azure Data Lake Storage (ADLS), and external APIs.
• Create and sustain data models, data marts, and data warehouses using SQL Server and Azure Synapse Analytics.
• Compose efficient and optimised SQL queries, stored procedures, views, and triggers in SQL Server.
• Use Databricks (Spark with Python/Scala) to process large datasets for transformation and analytics.
• Ensure data quality, integrity, security, and compliance across the pipeline using data validation, monitoring, and auditing techniques.
• Collaborate with data analysts, data scientists, and business stakeholders to define and deliver data solutions.
• Implement CI/CD pipelines using Azure DevOps.
• Maintain and optimise the performance of data pipelines and queries across Azure and SQL Server environments.

Required Skills & Qualifications:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in data engineering or related roles.
• Proven experience with:
• Azure Data Services: Data Factory, ADLS, Azure SQL, Azure Synapse
• Databricks (Azure implementation), including experience with Spark (Python or Scala).
• Microsoft SQL Server: Writing advanced SQL, stored procedures, and performance tuning.
• Strong understanding of data warehousing concepts, ETL/ELT best practices, and data modelling (star/snowflake schema).
• Familiarity with data governance, RBAC, and data security practices in Azure.
• Experience with CI/CD tools like Azure DevOps and version control with Git.
• Excellent problem-solving skills and ability to work collaboratively in a fast-paced environment.

How You'll Thrive:

Our team of professionals across the globe are solving complex business problems and directly supporting our communities, the planet, and each other.

You can be a leader irrespective of your career level. Our colleagues are characterised by their ability to inspire, support, and provide opportunities for people to deliver their best and grow both as professionals and human beings.

We value and respect our people for who they are and trust them to add value to their clients, teams, and communities in a way that reflects their unique capabilities.

We encourage you to take ownership of your career. We recognise there is no one-size-fits-all career path, and global, cross-business mobility and up/re-skilling are all within the range of possibilities to shape a unique and fulfilling career.

Everyone's welcome here.

We want job seekers exploring opportunities at our organisation to feel prepared, confident, and comfortable. To help you with your interview, we suggest that you do your research and know some background about the business area you're applying to.