We are looking for a Data Engineer to support government domain projects, focused on building and managing scalable data platforms and pipelines. The role requires strong technical expertise in either AWS with Databricks (Spark/PySpark) or Google Analytics with BigQuery, along with a solid execution mindset. 

Mandatory Skill(s)

• Hands-on experience building and managing data platforms and pipelines;
• Cloud & Analytics stack (either one required):

Track A: Azure & Databricks
Track B: Google Analytics with BigQuery;

• Experience in data ingestion, transformation, and processing workflows;
• Data quality & performance: Ability to ensure data reliability, quality, and system performance;
• Experience optimizing data processing and storage solutions;
• Hands-on experience working in Agile/Scrum teams.

Desirable Skill(s)

• Experience working on government or regulated domain projects;
• Exposure to data analytics platforms and reporting use cases;
• Knowledge of data modeling and schema design best practices;
• Experience with performance tuning and cost optimization in cloud environments;
• Familiarity with large-scale data processing and high-volume datasets.

Responsibilities

• Develop and manage data pipelines and analytics platforms;
• Design and implement data ingestion and transformation workflows;
• Work with cross-functional teams to translate requirements into technical solutions;
• Ensure data quality, reliability, and performance of data systems;
• Optimize data processing and storage solutions;
• Support Agile development practices and project delivery.

If you are interested in this role, click on the “Apply to this job” button below or you could also write in with your CV to Subhashree Mallick at subhashree.m@sciente.com quoting the job title.