Save Job Back to Search Job Description Summary Similar JobsHybrid work cultureGrowth Through Technology & AIAbout Our ClientA professional services consultancy based in Rangareddy, focusing on delivering data-driven solutions to meet client needs.Job DescriptionTechnical Leadership & Influence* Partner with Data Engineering Leads and Architecture to design and evolve scalable, enterprise-grade data solutions.* Influence technical direction, standards, and best practices across Snowflake and ADF implementations.* Provide expert guidance on complex data challenges including lineage, transformation logic, and legacy system integration.* Act as a go-to SME for Snowflake performance, scalability, and cost optimization.Hands-On Engineering* Design, build, and optimize complex ELT pipelines using Azure Data Factory and Snowflake.* Lead deep data analysis and discovery across source systems, including heavy stored procedure environments.* Implement and optimize Medallion architecture (Bronze, Silver, Gold) data models.* Tune Snowflake performance (query optimization, clustering, workload management) and manage credit consumption.* Ensure high standards of data quality, reliability, and maintainability across the platform. Collaboration & Enablement* Work closely with Product, BI, QA, and Engineering teams to deliver integrated, high-quality data solutions.* Support and mentor engineers informally by guiding problem-solving and sharing best practices.* Contribute reusable patterns, templates, and frameworks to improve delivery consistency and speed. Innovation & Continuous Improvement* Leverage and promote the use of AI tools to accelerate data mapping, lineage tracking, and development.* Identify opportunities to improve team efficiency across design, development, testing, and documentation.* Help define practical, repeatable approaches for solving complex data engineering problems at scale.Governance & Operations* Ensure adherence to data governance, security, and compliance standards.* Monitor and optimize Snowflake usage and cost efficiency.* Troubleshoot and resolve critical data and performance issuesThe Successful ApplicantBachelor's or master's degree in computer science, Information Systems, or related field.8-12+ years of data engineering experience in complex environments.Deep hands-on expertise in Snowflake (typically 4-6+ years in enterprise-scale implementations).Strong experience with Azure Data Factory (ADF) and Azure data ecosystem.Advanced SQL expertise, including performance tuning and large-scale data transformation.Proven experience working with complex, legacy systems and data lineage challenges.Experience designing and implementing enterprise data warehouse or lakehouse architectures.Hands-on experience with Python or similar scripting languages.Experience with CI/CD, DevOps practices, and Infrastructure as Code (IaC).Snowflake SnowPro certification (preferred).What's on OfferOpportunity to work on innovative data projects.Collaborative and supportive work environment.Based in Rangareddy, offering convenient access to the office.Competitive benefits and perks.If you feel this role suits your skills and experience, we encourage you to apply.Quote job refJN-072026-7063239Job summaryFunctionInformation TechnologySub SectorIT ArchitectureWhat is your area of specialisation?Healthcare ProvidersLocationRangareddyJob TypePermanentJob ReferenceJN-072026-7063239