Senior Snowflake Data Engineer

Job Description & Summary:  

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. 

Responsibilities: 

We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you. 

What you will do:  

• Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments 

• Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses 

• Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows  

• Create and maintain data models in Databricks, ensuring data quality and consistency  

• Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency  

• Implement data governance and security best practices in cloud environments  

• Collaborate across teams to translate business requirements into robust technical solutions 

Mandatory skill sets: 

‘Must have’ knowledge, skills and experiences  

• 5+ years of hands-on experience in Data Engineering  

• Strong command over SQL, Python, and PySpark for data manipulation and analysis  

• Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS)  

• Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) 

• Solid understanding of ETL/ELT processes and best practices in cloud architectures 

• Experience with dimensional modeling, star schemas, and data mart design  

• Strong analytical thinking and problem-solving skills 

Preferred skill sets: 

‘Good to have’ knowledge, skills and experiences  

• Familiarity with data lake architectures and delta lake concepts  

• Familiarity with Snowflake/Databricks Data Warehouse 

• Knowledge of data warehouse migration strategies to cloud  

• Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs)  

• Exposure to data quality and data governance tools and methodologies  

• Understanding of data virtualization and federated query engines  

• Understanding of performance optimization techniques for cloud-based data warehouses  

• Apache Airflow – Workflow orchestration and scheduling 

• Certifications in Azure or AWS or Databricks 

Years of experience required: 

Experience  

• 5-8 years 

Education qualification: 

• BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)