We have an opportunity for a Senior Data Engineer to join our Revenue Operations team in Bangalore, India, reporting to the senior manager of Revenue Operations, who is based in the UK
In this role, you will help transform Infoblox s data landscape, ensuring our data strategy and technology solutions are cutting-edge, efficient, and aligned with our strategic objectives
You will lead the evolution of our data architecture, championing best practices and driving the adoption of AWS-based data solutions
You will also be at the forefront of modernizing our data technology stack, implementing scalable and resilient data pipelines, and enhancing accessibility, security, and usability
Working across all teams at Infoblox, you ll provide technical expertise to ensure high-quality, reliable data underpins critical decision-making and operational excellence

Be a Contributor What You ll Do

Design, build, and maintain robust, scalable data pipelines and ETL workflows using Python, SQL, FiveTran, and PySpark
Architect and build data warehouses from the ground up, including dimensional modeling (Kimball), normalization, and physical schema design
Design and develop high-quality data marts and semantic layers to power analytics and self-service reporting
Apply real-world experience with Kimball and modern data modeling approaches (e.g., Data Vault, dbt, Medallion) to ensure scalable, reusable data solutions
Collaborate with Sales, IT, Analytics, and InfoSec teams to translate business needs into scalable data solutions
Query data lakes and cloud databases (e.g., AWS Redshift, Snowflake) to prepare optimized data sets
Build and support Tableau-ready data models and enable company-wide self-service analytics
Implement and monitor data quality frameworks, SLAs, data contracts, and alerting systems
Optimize performance of SQL queries, data models, and compute resources
Lead the modernization of Infoblox s data architecture with a focus on scalability, governance, and security
Stay current with data engineering and analytics trends and mentor others in best practices
Support production pipelines, troubleshoot issues, and ensure data reliability and trustworthiness

Be Prepared What You Bring

Deep expertise in Python, SQL, PySpark, and data modeling techniques
Proven experience with cloud data platforms (AWS, Redshift, Snowflake, Azure, GCP). Preferred AWS and Snowflake platforms
hands-on experience with dimensional modeling specifically Kimball (FACT/DIM), Data Vault, or Medallion frameworks
experience of data warehouse development, star/snowflake schema design, and performance tuning. Preferred in Snowflake and Databricks
Familiarity with modern extraction, analytics tools and frameworks like Fivetran, AWS Glue, dbt, LookML, or equivalent
experience with CI/CD practices, GitHub workflows, and infrastructure-as-code tools. Preferred experience with ground up development of GitHub
Strong programming background including PowerShell; AI/ML in AWS and Snowflake is a plus
Experience operating in Agile environments and collaborating with cross-functional stakeholders
Deep understanding of data governance, data security, and compliance standards
Strong problem-solving skills, attention to detail, and a continuous improvement mindset

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